Trust Governance Architecture
- 1) Purpose & Scope
- 2) Design Guiding Principles
- 3) Core Services Architecture
- 4) Logical Architecture (How the parts fit)
- 5) Operating Model (The Process, not just software)
- 6) Interfaces & Standards
- 7) Data, Logs, & Lineage
- 8) Success Metrics
- 9) Adoption Roadmap (MVP → Scale)
- 10) Risks & Mitigations
- Appendix A — Process Checklists
Trust Governance is the practice of managing the relationship between modern enterprise security services so CISOs can govern risk with proof—using formal verification for both Cedar policy correctness and JWT token integrity across the full authorization trust chain. The Trust Hub is the enabling platform, covering enterprise schema management, enterprise policy management, and federation of trusted domains.
- Governed by Design — Policy, schema, and federation changes follow the same rigor as code via PRs, releases, and auditability.
- Provable by Design — Policies and tokens are verified with automated analysis/theorem proving; never-errors, equivalence, disjointness are first-class checks.
- Declarative by Design — Capabilities (Action-Resource) are discovered, cataloged, and governed as the unit of risk.
- Interoperable by Design — Open standards (OIDC/OAuth, OpenID Federation, Shared Signals) form the integration surface.
- Observable by Design — End-to-end logs (authz, identity, policy decisions), event hubs, and analytics inform continuous assurance.
The Trust Governance architecture is built around seven core service domains that collectively provide comprehensive coverage for enterprise authorization governance. Each service domain addresses specific aspects of the authorization trust chain while maintaining clear separation of concerns and well-defined interfaces.
Purpose: The central governance platform that orchestrates policy lifecycle, schema management, and trust federation across the enterprise.
Key Components:
- Enterprise Schema Management: Define canonical entity models, attribute schemas, and relationships that serve as the single source of truth for authorization decisions
- Enterprise Policy Management: Authoring workflows, formal verification, cross-store analysis, lifecycle management, and usage analytics for Cedar policies
- Federation & Trusted Entities: Manage JWT issuer configurations, token mapping rules, revocation policies, and OpenID Federation entity statements, inlcuding trust chain validation
- Capability Registry: Maintain a comprehensive catalog of all domain capabilities (Action-Resource pairs) with associated risk metadata, ownership, and policy mappings
Why This Makes Sense: Centralized policy governance enables consistency, auditability, and formal verification across the entire authorization landscape. Without a unified platform, enterprises face policy drift, schema and policy inconsistencies, and fragmented trust management that undermines security posture.
Sufficiency Rationale: The Trust Hub provides the foundational governance layer that enables all other services to operate with shared context, consistent policies, and verifiable trust relationships.
Purpose: Coordinates identity flows and risk-based authentication decisions across web, mobile, software, and agentic entities.
Key Components:
- Multi-channel identity flows (web, mobile, API, agent-based)
- Risk-based step-up authentication and MFA orchestration
- Identity journey logic with adaptive security policies
- Real-time risk signal fusion into authentication decisions
Why This Makes Sense: Modern enterprises require adaptive, risk-aware identity flows that can respond dynamically to threat signals while maintaining user experience. Static authentication policies are insufficient for today's threat landscape.
Sufficiency Rationale: Identity orchestration ensures that authentication decisions are contextually aware and can adapt to changing risk conditions, providing the foundation for trusted authorization decisions downstream.
Purpose: Manages human identity lifecycle, provisioning, and authentication mechanisms with enterprise integration.
Key Components:
- Identity Governance and Administration (IGA) with lifecycle automation
- OpenID Connect identity provider APIs with enterprise extensions
- Multi-factor authentication (MFA) with adaptive policies
- Identity and Access Management (IAM) with Privileged Access Management (PAM) integration
- Data lake adapters for identity analytics and reporting
Why This Makes Sense: Human identities require specialized lifecycle management, compliance reporting, and integration with HR systems that differ significantly from software identity requirements.
Sufficiency Rationale: Dedicated human identity services ensure proper governance of human access rights while providing the structured data needed for authorization decisions in the Trust Hub.
Purpose: Manages software identity lifecycle for applications, services, and workloads with cryptographic verification.
Key Components:
- OAuth client identity management with automated rotation
- SPIFFE/SPIRE workload identity with service mesh integration
- WebAssembly Identity for Secure Execution (WIMSE) for sandboxed environments
- Machine-to-machine authentication with certificate management
Why This Makes Sense: Software identities have fundamentally different lifecycle requirements than human identities, including automated provisioning, cryptographic verification, and integration with CI/CD pipelines.
Sufficiency Rationale: Software identity services provide the foundation for zero-trust architectures by ensuring every service interaction is properly authenticated and authorized through verifiable identities.
Purpose: Centralizes security event processing and enables real-time response to authorization anomalies and threats.
Key Components:
- Shared Signals Framework implementation for cross-domain event sharing
- Event graph processing for complex threat correlation
- Real-time event orchestration and response workflows
- Policy-relevant context enrichment and threat intelligence integration
Why This Makes Sense: Authorization decisions must be informed by real-time threat intelligence and anomalous behavior detection. Static policies cannot respond to emerging threats without dynamic event processing.
Sufficiency Rationale: The Security Event Hub provides the real-time threat awareness and response capabilities that make authorization governance proactive rather than reactive.
Purpose: Integrates advanced threat detection capabilities to inform governance decisions and validate policy effectiveness.
Key Components:
- SIEM integration for security information and event management
- AI/ML-powered anomaly detection for authorization patterns
- Identity Threat Detection and Response (ITDR) with behavioral analytics
- Policy efficacy testing through threat simulation and red teaming
Why This Makes Sense: Governance without threat awareness is blind to emerging risks. Threat detection provides the intelligence needed to continuously validate and improve authorization policies.
Sufficiency Rationale: Threat detection services ensure that governance decisions are informed by current threat intelligence and that policies remain effective against evolving attack vectors.
Purpose: Provides immutable audit trails and compliance evidence for authorization decisions and policy changes.
Key Components:
- Authoritative authorization and identity decision logging with tamper-proof storage
- Policy store release management with verification proofs and change records
- Compliance reporting with automated evidence collection
- Forensic analysis capabilities for security incidents
Why This Makes Sense: Governance without auditability is not governance. Regulatory compliance and security investigations require immutable evidence of authorization decisions and policy changes.
Sufficiency Rationale: Audit services provide the accountability and compliance foundation that makes governance decisions defensible to regulators, auditors, and incident response teams.
Collective Sufficiency: These seven service domains collectively provide comprehensive coverage of the authorization governance lifecycle:
- Policy Lifecycle: Trust Hub manages policy authoring, verification, and distribution
- Identity Management: Separate services for human and software identities ensure appropriate lifecycle management
- Runtime Execution: Identity orchestration coordinates authentication flows while Trust Hub provides authorization policies
- Threat Response: Security Event Hub and Threat Detection provide real-time awareness and response
- Compliance Assurance: Audit services ensure all decisions and changes are properly recorded and verifiable
Integration Points: Services integrate through well-defined APIs and event streams, enabling loose coupling while maintaining data consistency through the Trust Hub's schema management capabilities.
The Trust Governance architecture operates across four logical planes that coordinate to provide comprehensive enterprise authorization governance. Each plane serves distinct functions while maintaining data flow and consistency across the entire system.
The Authoring & Analysis Plane provides the foundational tools for policy and schema creation, formal verification, and enterprise-wide analysis capabilities.
- Policy Editor: Integrated Cedar policy authoring with real-time syntax validation, type checking, and immediate feedback
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Formal Analysis Engine: Automated verification of policy correctness using SMT solvers (CVC5) for:
- Never-errors: Guarantee policies never fail at runtime due to type mismatches or invalid operations
- Equivalence: Prove policy sets are functionally equivalent (A ≡ B)
- Disjointness: Detect policy sets with no overlapping authorization decisions (A ∩ B = ∅)
- Implication: Verify one policy set implies another (A → B)
- Schema Designer: Visual entity relationship modeling with compatibility validation
- Compatibility Checks: Automated analysis of schema changes across policy stores
- Impact Analysis: Determine which policies are affected by schema modifications
- Migration Planning: Automated generation of migration scripts for schema evolution
- Capability Discovery Engine: Automated extraction of Action-Resource pairs from existing policy stores
-
Capability Registry: Comprehensive catalog with:
- Capability taxonomy and classification
- Risk metadata and compliance tags
- Ownership assignment and responsibility mapping
- Policy lineage and coverage analysis
The Authoring & Analysis Plane provides sophisticated capabilities for analyzing relationships and behaviors across multiple policy stores:
Cross-Store Relationship Analysis:
- Policy Set Relationships: Analyze implications, equivalence, and disjointness across different policy stores
- Behavioral Consistency: Verify that policies across stores maintain expected security relationships
- Divergence Detection: Identify when equivalent policies in different stores have diverged inappropriately
Multi-Store Union Operations:
-
Namespace Management: Handle non-colliding namespaces (e.g.,
prod::User,staging::User,dev::User) - Entity Resolution: Map entities across stores while maintaining type compatibility
- Combined Behavior Analysis: Understand authorization behavior when multiple stores are unioned
Strategic Analysis Capabilities:
- Environment Consistency: Verify staging policies are at least as restrictive as production
- Migration Impact: Analyze the security impact of migrating between policy store sets
- Compliance Verification: Ensure all policy stores meet regulatory requirements
- Security Posture Assessment: Evaluate overall enterprise authorization security across all stores
The Release & Distribution Plane manages the formal release lifecycle for policies, schemas, and policy stores with enterprise-grade governance.
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Automated PR Gates: Integration with GitHub workflows for:
- Formal verification proofs attached to every PR
- Compatibility analysis and impact assessment
- Capability registry updates and ownership validation
- Automated reviewer assignment based on risk classification
-
Release Pipeline: Standardized release process including:
- Policy store validation and packaging
- Schema compatibility verification
- Cross-store relationship validation
- Automated rollback capabilities
-
RFC-Compliant Packaging: Policy store distribution compliant with Cedar Policy Store specification:
- Directory layout with proper metadata
- Archive formats (.cjar) with checksums and signatures
- Version management and dependency tracking
- Distribution manifest with rollback points
-
Multi-Store Distribution: Enterprise-wide policy store deployment:
- Environment-specific policy store variants (prod, staging, dev)
- Namespace isolation and conflict resolution
- Cross-environment consistency validation
- Automated deployment to Cedar PDPs
- Signed Releases: Cryptographic signatures for all policy artifacts
- Artifact Repositories: Centralized storage with version control
- Distribution Tracking: Monitor deployment status across all environments
- Rollback Capabilities: Automated rollback to previous versions with impact analysis
The Runtime Decision Plane executes authorization decisions using validated policy stores and trusted identity information.
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Cedar PDPs: High-performance authorization engines (e.g., Cedarling) consuming:
- Validated policy stores from the Release & Distribution Plane
- Trusted issuer configurations and validation rules
- Real-time entity context and attributes
-
JWT Token Validation: Comprehensive token verification including:
- Signature validation using issuer public keys
- Token mapping rules for claim transformation
- Revocation checking against real-time revocation lists
- Federation chain validation for cross-domain trust
-
Issuer Trust Management: Dynamic issuer configuration including:
- Public key rotation and validation
- Token validation rule updates
- Federation relationship management
- Cross-issuer trust chain validation
- Entity Resolution: Dynamic entity attribute resolution across multiple stores
- Context Enrichment: Real-time attribute updates from identity systems
- Risk Signal Integration: Incorporate threat intelligence into authorization decisions
The Telemetry & Assurance Plane provides comprehensive observability, audit trails, and continuous assurance across the entire authorization ecosystem.
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Comprehensive Decision Logs: Immutable logging of all authorization decisions including:
- Policy evaluation results with full reasoning chains
- Entity context and attribute values used in decisions
- Policy store versions and issuer information
- Performance metrics and response times
-
Cross-Store Analytics: Enterprise-wide authorization analytics including:
- Policy usage patterns across different stores
- Cross-environment authorization behavior analysis
- Capability coverage and gap identification
- Security posture trends and anomalies
-
Security Event Processing: Real-time processing of authorization-related events:
- Authorization anomalies and suspicious patterns
- Policy effectiveness indicators
- Cross-store policy interaction events
- Threat intelligence integration
-
Response Orchestration: Automated response to authorization events:
- Token revocation and step-up authentication
- Policy store updates and emergency rollbacks
- Incident response workflows
- Compliance reporting triggers
-
Audit Notebooks: Comprehensive audit trails linking:
- Policies → Capabilities → Owners → Evidence → Incidents
- Cross-store policy relationships and dependencies
- Schema evolution and migration history
- Compliance verification and evidence collection
-
Enterprise Reporting: Multi-dimensional reporting capabilities:
- Policy Store Health: Coverage, consistency, and effectiveness metrics
- Cross-Environment Analysis: Behavior differences between prod/staging/dev
- Capability Risk Assessment: Risk trends across enterprise capabilities
- Compliance Dashboards: Regulatory compliance status and evidence
-
Automated Monitoring: Continuous validation of:
- Policy store consistency across environments
- Cross-store policy relationship maintenance
- Schema compatibility and evolution tracking
- Token validation rule effectiveness
-
Threat Detection Integration: Advanced analytics including:
- Authorization pattern anomaly detection
- Cross-store access pattern analysis
- Policy effectiveness measurement
- Security posture trend analysis
The four planes operate in coordinated fashion with well-defined data flows:
- Development Flow: Authoring → Analysis → Release → Distribution → Runtime
- Monitoring Flow: Runtime → Telemetry → Analysis → Authoring (feedback loop)
- Assurance Flow: Telemetry → Audit → Compliance → Release (evidence collection)
- Response Flow: Telemetry → Event Hub → Authoring/Release (incident response)
This integrated architecture ensures that enterprise authorization governance operates as a unified system while maintaining clear separation of concerns and enabling independent evolution of each plane.
The Trust Governance Operating Model defines the systematic approach to managing authorization policies, schemas, and trust relationships across the enterprise. This model ensures that governance decisions are made with formal verification, comprehensive audit trails, and continuous improvement based on real-world evidence.
The Trust Governance lifecycle consists of eight interconnected phases that ensure systematic policy development, verification, deployment, and continuous improvement.
Purpose: Establish comprehensive visibility into existing authorization capabilities and create the foundation for enterprise governance.
Activities:
- Policy Store Ingestion: Automated discovery and import of existing Cedar policy stores from across the enterprise
- Capability Extraction: AI-powered analysis to extract Action-Resource capabilities from existing policies
-
Capability Registry Population: Create comprehensive catalog entries including:
- Capability taxonomy and classification
- Risk metadata and compliance tags
- Ownership assignment and responsibility mapping
- Business context and usage patterns
- Gap Analysis: Identify capabilities that lack proper policy coverage
- Legacy System Integration: Map existing authorization systems to capability framework
Deliverables:
- Complete capability inventory with risk classifications
- Policy store inventory with metadata and lineage
- Gap analysis report with remediation recommendations
- Ownership matrix for all identified capabilities
Purpose: Define and maintain enterprise-wide schemas that serve as the single source of truth for authorization decisions.
Activities:
- Enterprise Schema Design: Define canonical entity models, attribute schemas, and relationships
- Schema Compatibility Analysis: Automated analysis of schema changes across policy stores
- Impact Assessment: Determine which policies are affected by schema modifications
- Migration Planning: Develop automated migration scripts for schema evolution
- Cross-Store Schema Validation: Ensure schema consistency across environments
- Token Claim Schema Management: Define and validate JWT token claim schemas for all issuers
Deliverables:
- Enterprise schema with full documentation
- Compatibility analysis reports
- Migration scripts and rollback procedures
- Schema versioning and change management documentation
Purpose: Author and refine Cedar policies that implement capability controls with formal verification.
Activities:
- Policy Authoring: Create Cedar policies using integrated editor with real-time validation
- Test Generation: Automated generation of test cases based on capability requirements
- Static Analysis: Comprehensive static analysis for syntax, type safety, and logic validation
- Semantic Analysis: Deep semantic analysis of policy behavior and interactions
- Cross-Policy Validation: Ensure policy consistency across related capabilities
- Performance Optimization: Optimize policies for runtime performance
Deliverables:
- Formally verified Cedar policies
- Comprehensive test suites with coverage metrics
- Policy documentation with business context
- Performance benchmarks and optimization recommendations
Purpose: Execute formal verification to guarantee policy correctness and token integrity.
Activities:
-
Formal Verification: Automated proofs using SMT solvers (CVC5) for:
- Never-errors: Guarantee policies never fail at runtime
- Equivalence: Prove policy sets are functionally equivalent
- Disjointness: Detect policy sets with no overlapping decisions
- Implication: Verify one policy set implies another
- Token Integrity Proofs: Cryptographic verification of JWT token validation rules
- Cross-Store Analysis: Verify policy relationships across multiple stores
- Security Proofs: Formal verification against security control specifications
- Compliance Verification: Automated checking against regulatory requirements
Deliverables:
- Formal verification proofs attached to PRs
- Token integrity verification reports
- Security control compliance evidence
- Cross-store relationship analysis results
Purpose: Execute formal approval process with comprehensive review and release management.
Activities:
- GitHub PR Workflow: Standard PR process with automated verification gates
- Automated Review: AI-powered code review with risk and compatibility findings
- Reviewer Assignment: Automated assignment based on risk classification and domain expertise
- Approval Gates: Multi-stage approval process with required sign-offs
- Release Packaging: Create versioned policy stores with proper metadata
- Signature Generation: Cryptographic signatures for all release artifacts
- Release Notes: Comprehensive documentation of changes and impacts
Deliverables:
- Approved PRs with verification proofs
- Versioned policy store packages (.cjar format)
- Signed release artifacts with checksums
- Comprehensive release notes and change documentation
Purpose: Deploy policy stores and configurations across enterprise environments.
Activities:
- Policy Store Distribution: Deploy RFC-compliant policy stores to all PDPs
- Issuer Configuration: Configure trusted issuers and validation rules
- Federation Chain Setup: Establish and validate federation relationships
- Environment Synchronization: Ensure consistent deployment across prod/staging/dev
- Rollback Preparation: Prepare rollback procedures and validation
- Distribution Verification: Verify successful deployment and configuration
Deliverables:
- Deployed policy stores across all environments
- Configured issuer trust relationships
- Validated federation chains
- Deployment verification reports
Purpose: Monitor authorization decisions and system behavior for continuous assurance.
Activities:
- Decision Logging: Comprehensive logging of all authorization decisions
- Identity Logging: Track identity events and token usage patterns
- Shared Signals Processing: Process security events from event hub
- Runtime Analytics: Analyze policy effectiveness and usage patterns
- Cross-Store Monitoring: Monitor policy consistency across environments
- Capability Coverage Analysis: Track which capabilities are being used and tested
Deliverables:
- Comprehensive authorization decision logs
- Identity event tracking and analysis
- Policy effectiveness metrics
- Capability usage and coverage reports
Purpose: Respond to anomalies and continuously improve policy effectiveness.
Activities:
- Anomaly Detection: Identify authorization anomalies and suspicious patterns
- Automated Response: Trigger Security Event Hub workflows for incidents
- Policy Refinement: Update policies based on real-world usage and threats
- Incident Response: Execute incident response procedures
- Continuous Improvement: Feed learnings back into policy design and testing
- Threat Intelligence Integration: Incorporate new threat intelligence into policies
Deliverables:
- Incident response reports and lessons learned
- Updated policies based on real-world feedback
- Threat intelligence integration recommendations
- Continuous improvement action plans
The Trust Governance operating model requires clearly defined roles with specific responsibilities and decision-making authority.
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CISO / Risk Officer (Responsible, Accountable)
- Owns enterprise risk taxonomy and control objectives
- Approves capability risk classifications and security requirements
- Signs off on major policy changes and security decisions
- Provides executive oversight of governance program
-
Chief Architect (Consulted, Informed)
- Ensures architectural alignment across enterprise systems
- Provides technical guidance on policy design and implementation
- Reviews cross-system integration requirements
-
Schema Stewards (Responsible)
- Own enterprise authorization and token schemas
- Execute compatibility analysis and migration planning
- Define schema evolution strategies and versioning
- Maintain schema documentation and standards
-
Policy Authors (Responsible)
- Implement capability controls in Cedar policies
- Maintain comprehensive test suites and formal proofs
- Document policy business context and rationale
- Participate in policy review and approval processes
-
Policy Reviewers (Consulted)
- Review policies for correctness and business alignment
- Validate formal proofs and test coverage
- Ensure compliance with security standards
- Provide domain expertise for specialized policies
-
Federation Administrators (Responsible)
- Manage JWT issuers, trust chains, and entity statements
- Configure token validation rules and revocation policies
- Establish and maintain federation relationships
- Monitor federation health and security
-
Identity Architects (Consulted)
- Design identity integration patterns and standards
- Ensure compatibility with existing identity systems
- Provide guidance on token claim schemas and mapping
-
Application Owners (Responsible)
- Map application features to enterprise capabilities
- Accept runtime SLOs and provide evidence of compliance
- Participate in capability risk assessment and classification
- Provide business context for authorization requirements
-
Product Managers (Consulted)
- Define business requirements for authorization features
- Prioritize capability development and risk mitigation
- Ensure user experience considerations in policy design
-
Security Operations (Responsible)
- Monitor Security Event Hub and threat intelligence feeds
- Execute incident response procedures and playbooks
- Manage SIEM/ITDR integrations and alerting
- Coordinate with external security partners
-
Platform Operations (Responsible)
- Deploy and maintain policy decision points (PDPs)
- Monitor system performance and availability
- Execute policy store distribution and updates
- Manage infrastructure and scaling requirements
-
Compliance Officers (Accountable)
- Define regulatory compliance requirements
- Review evidence and approve compliance controls
- Sign off on releases and policy changes
- Coordinate external audits and assessments
-
Internal Audit (Consulted)
- Review governance processes and controls
- Validate evidence collection and retention
- Assess policy effectiveness and coverage
- Provide independent assessment of governance program
The Trust Governance operating model includes multiple gates with specific evidence requirements to ensure quality, security, and compliance.
Gate 1: Capability Discovery & Classification
-
Evidence Required:
- Complete capability inventory with risk classifications
- Ownership assignment matrix with approval signatures
- Gap analysis report with remediation timeline
- Business context documentation for each capability
Gate 2: Schema Design & Validation
-
Evidence Required:
- Enterprise schema with formal documentation
- Compatibility analysis across existing policy stores
- Impact assessment for schema changes
- Migration strategy with rollback procedures
Gate 3: Policy Authoring & Testing
-
Evidence Required:
- Formally verified Cedar policies with proof artifacts
- Comprehensive test suites with >95% coverage
- Static and semantic analysis results
- Performance benchmarks and optimization reports
Gate 4: Formal Verification
-
Evidence Required:
- Never-errors proofs for all policies
- Equivalence and disjointness analysis results
- Cross-store relationship verification
- Token integrity proofs for all issuers
Gate 5: PR Approval
-
Evidence Required:
- All formal proofs attached to PR
- Compatibility checks passing across all environments
- Capability registry entries updated with owners
- Required reviewer approvals (Risk, Schema Steward, Policy Reviewer)
- Automated test suite passing with coverage metrics
Gate 6: Release Validation
-
Evidence Required:
- Policy store package validation (structure, checksums, signatures)
- Issuer validation rules verified and tested
- Federation chain validation completed
- Distribution manifest with rollback points
- Release notes with comprehensive change documentation
Gate 7: Deployment Verification
-
Evidence Required:
- Successful deployment across all target environments
- Policy store integrity verification on all PDPs
- Issuer configuration validation
- Federation relationship health checks
Gate 8: Operational Validation
-
Evidence Required:
- Decision log sampling showing expected coverage
- Event hub alerts properly configured and tested
- Performance metrics meeting SLOs
- Security monitoring active and functional
- Verification Proofs: Formal mathematical proofs of policy correctness
- Test Evidence: Test results, coverage metrics, and validation reports
- Compliance Evidence: Regulatory compliance verification and documentation
- Operational Evidence: Runtime logs, performance metrics, and monitoring data
- Process Evidence: PR discussions, approval signatures, and change documentation
- Verification Proofs: Permanent retention with cryptographic integrity
- Test Evidence: 7-year retention with audit trail
- Compliance Evidence: Regulatory-required retention (typically 7+ years)
- Operational Evidence: 3-year retention with immutable storage
- Process Evidence: 5-year retention with full audit trail
- Cryptographic Signatures: All evidence digitally signed with timestamp
- Immutable Storage: Evidence stored in tamper-proof systems
- Audit Trails: Complete lineage tracking for all evidence
- Access Controls: Role-based access with comprehensive logging
- Coverage Metrics: Percentage of capabilities with assigned owners, risk classification, and passing proofs
- Quality Metrics: Number of verification failures caught pre-merge, policy conflicts eliminated
- Security Metrics: Percentage of tokens validated with full chain-of-trust and revocation checks
- Efficiency Metrics: PR-to-release duration for policy/schema changes
- Effectiveness Metrics: Reduction in incidents attributable to authorization gaps
- Real-time Feedback: Immediate validation and error reporting during policy authoring
- Weekly Reviews: Policy effectiveness analysis and usage pattern review
- Monthly Assessments: Cross-store consistency and security posture evaluation
- Quarterly Reviews: Governance program effectiveness and improvement planning
- Annual Audits: Comprehensive governance assessment and compliance verification
- Incident Post-Mortems: Systematic analysis of authorization incidents with policy improvements
- Threat Intelligence Integration: Regular updates to policies based on new threat intelligence
- Technology Evolution: Adaptation to new authorization technologies and standards
- Process Optimization: Continuous refinement of governance processes based on experience
The Trust Governance architecture leverages industry-standard interfaces and protocols to ensure interoperability, security, and compliance across the enterprise authorization ecosystem.
Purpose: Standardized identity and authorization framework for enterprise integration.
Trust Hub Integration:
-
Issuer Trust Configuration: Dynamic management of OIDC/OAuth issuer configurations including:
- Discovery endpoint configuration and validation
- Client registration and credential management
- Scope and claim mapping configuration
- Token endpoint security configuration
-
Token Profiles: Standardized token profiles for different use cases:
- ID tokens for user authentication with standardized claims
- Access tokens for API authorization with scope-based access
- Refresh tokens for long-lived session management
- Custom tokens for specialized authorization scenarios
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Client Onboarding: Automated client registration and lifecycle management:
- Dynamic client registration with metadata validation
- Credential provisioning and rotation
- Client capability discovery and negotiation
- Security policy enforcement for client configurations
Federation Support:
- Cross-Domain Trust: Establish trust relationships between different OIDC/OAuth providers
- Token Exchange: Secure token exchange protocols for cross-domain authorization
- Client Federation: Unified client management across multiple identity providers
Purpose: Establish and manage trust relationships between federated identity providers.
Trust Hub Federation Management:
-
Entity Statement Publication: Automated publication of entity statements including:
- Trust Hub metadata and capabilities
- Supported protocols and token profiles
- Security policies and compliance attestations
- Trust chain and federation relationships
-
Entity Statement Validation: Continuous validation of federation partner statements:
- Cryptographic signature verification
- Metadata consistency and compliance checking
- Trust chain validation and expiration monitoring
- Security policy alignment verification
-
Chain Building: Automated construction and maintenance of trust chains:
- Multi-hop federation relationship mapping
- Trust chain validation and optimization
- Federation policy enforcement
- Cross-federation compatibility analysis
Advanced Federation Features:
- Federation Discovery: Automated discovery of federation capabilities and policies
- Trust Negotiation: Dynamic trust establishment with security policy alignment
- Federation Monitoring: Continuous monitoring of federation health and security
- Incident Response: Coordinated response to federation security incidents
Purpose: Standardized framework for sharing security events and threat intelligence across systems.
Security Event Hub Integration:
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Event Schema Standardization: Consistent event schemas for authorization-related events:
- Authentication events with risk indicators
- Authorization decision events with policy context
- Token lifecycle events with security metadata
- Policy change events with impact assessment
-
Event Orchestration: Automated processing and routing of security events:
- Real-time event correlation and analysis
- Risk-based event prioritization and routing
- Automated response workflow triggering
- Cross-system event synchronization
-
Threat Intelligence Integration: Incorporation of external threat intelligence:
- Threat feed ingestion and normalization
- Threat indicator correlation with authorization events
- Automated threat response policy updates
- Threat intelligence sharing with federation partners
Event Processing Capabilities:
- Real-Time Processing: Sub-second event processing and response
- Batch Processing: Bulk event processing for historical analysis
- Event Enrichment: Context enrichment with entity and policy metadata
- Event Correlation: Cross-event correlation for complex threat detection
Purpose: Standardized specification for policy store packaging, distribution, and management.
Policy Store Packaging:
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Directory Layout: Standardized directory structure for policy stores:
- Policy files with versioning and metadata
- Schema files with compatibility information
- Configuration files with deployment parameters
- Documentation with policy descriptions and examples
-
Archive Formats: Standardized packaging formats (.cjar):
- Compressed archive with policy store contents
- Metadata manifest with version and dependency information
- Cryptographic signatures for integrity verification
- Checksums for content validation
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Distribution Metadata: Comprehensive metadata for policy store management:
- Version information and change history
- Dependency tracking and compatibility matrix
- Security classifications and compliance attestations
- Deployment requirements and constraints
Policy Store Management:
- Version Control: Standardized versioning and change management
- Dependency Management: Automated dependency resolution and validation
- Compatibility Checking: Cross-version compatibility analysis
- Rollback Support: Automated rollback capabilities with impact assessment
Purpose: Standardized API interfaces for Trust Hub integration and management.
API Design Principles:
- RESTful Architecture: Resource-based API design with standard HTTP methods
- JSON Data Format: Consistent JSON data structures for all API interactions
- Authentication & Authorization: OAuth 2.0/JWT-based API security
- Rate Limiting: Comprehensive rate limiting and throttling mechanisms
- API Versioning: Semantic versioning with backward compatibility support
Core API Endpoints:
- Policy Management APIs: CRUD operations for policies and policy stores
- Schema Management APIs: Schema definition and validation endpoints
- Capability Registry APIs: Capability discovery and management interfaces
- Federation APIs: Federation relationship management and monitoring
- Analytics APIs: Authorization analytics and reporting endpoints
Purpose: Flexible query interface for complex authorization data retrieval.
GraphQL Capabilities:
- Flexible Queries: Customizable queries for authorization data
- Real-Time Subscriptions: Live updates for authorization events
- Schema Introspection: Dynamic schema discovery and validation
- Performance Optimization: Efficient data fetching with minimal over-fetching
Purpose: Standardized audit logging for compliance and forensic analysis.
Audit Log Requirements:
- Immutable Logging: Tamper-proof audit log storage and retention
- Comprehensive Coverage: Complete audit trail for all authorization decisions
- Standardized Format: Consistent log format across all systems
- Cryptographic Integrity: Digital signatures for log integrity verification
- Long-Term Retention: Compliance-mandated retention periods and formats
Audit Log Contents:
- Decision Logs: Complete authorization decision audit trails
- Policy Change Logs: Comprehensive policy modification history
- Access Logs: User and system access pattern logging
- Security Event Logs: Security incident and response logging
- Compliance Logs: Regulatory compliance verification and reporting
Purpose: Support for major regulatory compliance frameworks.
Supported Frameworks:
- SOC 2: Security, availability, and confidentiality controls
- ISO 27001: Information security management system requirements
- PCI DSS: Payment card industry security standards
- HIPAA: Healthcare information privacy and security requirements
- GDPR: General data protection regulation compliance
- FedRAMP: Federal cloud security requirements
Compliance Features:
- Automated Compliance Checking: Continuous compliance monitoring and validation
- Evidence Collection: Automated collection of compliance evidence
- Audit Reporting: Standardized compliance reports and dashboards
- Remediation Tracking: Compliance gap identification and remediation tracking
The Trust Governance architecture maintains comprehensive data repositories that provide complete visibility into authorization decisions, policy evolution, and system behavior across the enterprise.
Purpose: Central repository for all enterprise authorization capabilities with comprehensive metadata and lineage tracking.
Data Structure:
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Capability Taxonomy: Hierarchical classification of authorization capabilities:
- Domain Classification: Business domain grouping (HR, Finance, Operations, etc.)
- Risk Classification: Security risk levels (Critical, High, Medium, Low)
- Compliance Classification: Regulatory compliance categories
- Technical Classification: Implementation complexity and dependencies
-
Ownership & Responsibility: Complete ownership mapping including:
- Business Owners: Business stakeholders responsible for capability requirements
- Technical Owners: Technical teams responsible for implementation
- Security Owners: Security teams responsible for risk management
- Compliance Owners: Compliance teams responsible for regulatory adherence
-
Risk Metadata: Comprehensive risk assessment data:
- Risk Scores: Quantitative risk assessments with justification
- Threat Models: Associated threat models and attack vectors
- Control Mappings: Security controls implemented for each capability
- Compliance Requirements: Regulatory requirements and attestations
Lineage Tracking:
-
Policy Lineage: Complete mapping from capabilities to implementing policies:
- Policy store versions and deployment history
- Policy change history with impact analysis
- Cross-store policy relationships and dependencies
- Policy effectiveness metrics and usage patterns
-
Schema Lineage: Schema evolution tracking for capability-related entities:
- Schema version history and migration paths
- Entity attribute evolution and compatibility analysis
- Cross-environment schema consistency tracking
- Schema impact on policy behavior and effectiveness
Analytics & Reporting:
- Coverage Analysis: Capability coverage across enterprise systems
- Risk Trend Analysis: Risk evolution and mitigation tracking
- Compliance Reporting: Regulatory compliance status and evidence
- Usage Analytics: Capability utilization patterns and optimization opportunities
Purpose: Comprehensive registry of all JWT token issuers with complete trust and security metadata.
Issuer Registry:
-
Issuer Metadata: Complete issuer identification and configuration:
- Issuer Identifiers: Unique issuer identification (iss claim values)
- Discovery Endpoints: OIDC discovery endpoint configuration
- Public Keys: JWK sets with key rotation and validation information
- Token Profiles: Supported token types and claim schemas
- Security Policies: Issuer security policies and compliance attestations
-
Validation Rules: Comprehensive token validation configuration:
- Signature Validation: Public key validation and rotation policies
- Claim Validation: Required and optional claim validation rules
- Expiration Policies: Token expiration and refresh policies
- Revocation Policies: Token revocation and blacklist management
-
Federation Relationships: Cross-issuer trust and federation mapping:
- Trust Chains: Multi-hop trust relationships and validation
- Federation Policies: Cross-issuer security and compliance policies
- Entity Statements: OpenID Federation entity statement management
- Trust Negotiation: Dynamic trust establishment and validation
Security Monitoring:
- Issuer Health Monitoring: Continuous monitoring of issuer availability and security
- Key Rotation Tracking: Automated tracking of public key rotations
- Token Validation Analytics: Token validation success/failure patterns
- Security Incident Tracking: Issuer-related security incidents and responses
Purpose: Immutable repository for all governance evidence with comprehensive audit trails and forensic capabilities.
Evidence Categories:
-
Verification Proofs: Formal mathematical proofs of policy correctness:
- SMT Solver Proofs: Automated proofs from CVC5 and other SMT solvers
- Never-Errors Proofs: Guarantees that policies never fail at runtime
- Equivalence Proofs: Proofs that policy sets are functionally equivalent
- Disjointness Proofs: Proofs that policy sets have no overlapping decisions
- Implication Proofs: Proofs that one policy set implies another
-
Test Evidence: Comprehensive test results and validation reports:
- Unit Test Results: Individual policy unit test results with coverage
- Integration Test Results: Cross-policy integration test results
- Performance Test Results: Policy performance benchmarks and optimization
- Security Test Results: Security-focused test results and penetration testing
-
Compliance Evidence: Regulatory compliance verification and documentation:
- Control Implementation Evidence: Evidence of security control implementation
- Audit Trail Evidence: Complete audit trails for compliance verification
- Attestation Evidence: Third-party attestations and certifications
- Remediation Evidence: Evidence of compliance gap remediation
Evidence Integrity:
- Cryptographic Signatures: All evidence digitally signed with timestamp authorities
- Immutable Storage: Evidence stored in tamper-proof, append-only systems
- Chain of Custody: Complete chain of custody tracking for forensic analysis
- Retention Management: Automated retention management with compliance requirements
Evidence Analytics:
- Proof Effectiveness: Analysis of proof coverage and effectiveness
- Test Coverage Analysis: Comprehensive test coverage analysis across policies
- Compliance Trend Analysis: Compliance status evolution and trend analysis
- Evidence Correlation: Cross-evidence correlation for comprehensive analysis
Purpose: Comprehensive logging of all authorization decisions with complete context and reasoning, enhanced through data aggregation and enrichment.
Decision Log Structure:
-
Request Context: Complete context of authorization requests:
- Entity Information: User, service, or system requesting access
- Resource Information: Target resource and requested action
- Environmental Context: Time, location, network, and device information
- Risk Context: Risk signals and threat intelligence context
-
Policy Evaluation: Complete policy evaluation process:
- Policy Store Information: Version and configuration of policy stores used
- Policy Evaluation Steps: Step-by-step policy evaluation process
- Decision Reasoning: Complete reasoning chain for authorization decision
- Performance Metrics: Evaluation time and resource utilization
-
Token Information: Complete JWT token context (enriched through data aggregation):
- Token Metadata: Issuer, audience, expiration, and other token metadata
- Claim Information: All token claims used in authorization decision
- Token Validation: Token validation results and security checks
- Revocation Status: Token revocation status and blacklist information
Data Aggregation & Enrichment Layer:
-
Token Enrichment: Join minimal Cedarling decision logs with full token information from IDPs:
- Raw Cedarling Logs: Minimal logs containing only essential fields (e.g., token jti, decision, timestamp)
- IDP Token Data: Full token claims, user attributes, and session information from identity providers
- Enrichment Process: Automated joining and correlation of token data across systems
- Data Validation: Verification of token data integrity and consistency
-
Context Enrichment: Additional context enhancement for threat detection:
- User Behavior Patterns: Historical user access patterns and behavioral analytics
- Risk Scoring: Real-time risk scoring based on access patterns and context
- Threat Intelligence: Integration of external threat intelligence feeds
- Geographic Context: IP geolocation and network reputation data
-
Data Normalization: Standardized format for SIEM ingestion:
- Common Schema: Unified data schema across all authorization sources
- Field Mapping: Consistent field mapping and data type standardization
- Data Quality: Validation and cleansing of enriched data before SIEM storage
- Retention Policies: Automated data retention and archival policies
Enhanced Log Analytics (Post-Aggregation):
- Decision Pattern Analysis: Analysis of authorization decision patterns with full context
- Policy Effectiveness Analysis: Analysis of policy effectiveness and usage with user behavior correlation
- Advanced Anomaly Detection: Detection of anomalous authorization patterns using enriched data
- Performance Analysis: Authorization performance analysis with full token context
- Threat Detection: Enhanced threat detection capabilities using correlated token and behavioral data
Purpose: Comprehensive logging of identity-related events and lifecycle management.
Identity Event Types:
-
Authentication Events: User and service authentication events:
- Login Events: Successful and failed login attempts with context
- Multi-Factor Authentication: MFA events and step-up authentication
- Session Management: Session creation, renewal, and termination
- Credential Events: Password changes, token refreshes, and credential updates
-
Authorization Events: Identity-based authorization events:
- Permission Changes: Changes to user permissions and roles
- Group Membership: Group membership changes and updates
- Privilege Escalation: Privilege escalation events and approvals
- Access Reviews: Access review events and certification results
-
Identity Lifecycle Events: Identity provisioning and deprovisioning:
- User Provisioning: New user creation and onboarding
- User Deprovisioning: User deactivation and access removal
- Role Changes: Role assignment and modification events
- Attribute Updates: Identity attribute changes and synchronization
Identity Analytics:
- Identity Risk Analysis: Analysis of identity-related security risks
- Access Pattern Analysis: Analysis of user access patterns and behaviors
- Compliance Analysis: Identity compliance analysis and reporting
- Lifecycle Analytics: Identity lifecycle analytics and optimization
Purpose: Real-time security event processing and correlation for threat detection and response.
Event Stream Processing:
- Real-Time Correlation: Real-time correlation of security events across systems
- Threat Intelligence Integration: Integration with external threat intelligence feeds
- Anomaly Detection: Machine learning-based anomaly detection and alerting
- Incident Response: Automated incident response and workflow triggering
Event Types:
- Authorization Anomalies: Unusual authorization patterns and potential security threats
- Token Security Events: Token-related security events and compromises
- Policy Violations: Policy violation events and security incidents
- Federation Events: Federation-related security events and trust issues
Purpose: Complete tracking of policy evolution and dependencies across the enterprise.
Lineage Components:
-
Policy Evolution: Complete history of policy changes and modifications:
- Version History: Complete version history with change descriptions
- Change Impact: Analysis of policy change impact on authorization behavior
- Dependency Tracking: Tracking of policy dependencies and relationships
- Migration History: Policy migration history across environments
-
Schema Evolution: Complete tracking of schema changes and their impact:
- Schema Version History: Complete schema version history and evolution
- Entity Evolution: Tracking of entity definition changes and modifications
- Attribute Evolution: Tracking of attribute changes and type modifications
- Relationship Evolution: Tracking of entity relationship changes
-
Cross-Store Relationships: Tracking of relationships between policy stores:
- Store Dependencies: Dependencies between different policy stores
- Cross-Store Policies: Policies that span multiple policy stores
- Environment Relationships: Relationships between production, staging, and development
- Federation Relationships: Cross-domain policy relationships and dependencies
Purpose: Complete tracking of evidence creation, modification, and usage across the governance lifecycle.
Evidence Lifecycle:
- Evidence Creation: Tracking of evidence creation and initial validation
- Evidence Modification: Tracking of evidence updates and modifications
- Evidence Usage: Tracking of evidence usage in decision-making processes
- Evidence Retention: Tracking of evidence retention and disposal
Lineage Analytics:
- Evidence Effectiveness: Analysis of evidence effectiveness and coverage
- Evidence Gaps: Identification of evidence gaps and missing documentation
- Evidence Quality: Analysis of evidence quality and reliability
- Evidence Trends: Analysis of evidence trends and evolution
The Trust Governance architecture employs a comprehensive metrics framework to measure success across multiple dimensions: coverage, correctness, integrity, efficiency, and effectiveness.
Primary Metric: Percentage of enterprise capabilities with complete governance coverage.
Measurement Components:
-
Capability Discovery Coverage: Percentage of capabilities discovered and cataloged
- Target: 100% of enterprise capabilities discovered within 6 months
- Measurement: Automated capability discovery vs. manual audit results
- Reporting: Monthly capability discovery reports with gap analysis
-
Ownership Assignment: Percentage of capabilities with assigned owners
- Target: 95% of capabilities with assigned business and technical owners
- Measurement: Capability registry ownership completeness
- Reporting: Quarterly ownership assignment reports
-
Risk Classification: Percentage of capabilities with risk classifications
- Target: 100% of capabilities with validated risk classifications
- Measurement: Risk classification completeness and validation status
- Reporting: Monthly risk classification status reports
Primary Metric: Percentage of capabilities with formal policy implementation.
Measurement Components:
-
Policy Implementation: Percentage of capabilities with Cedar policy implementation
- Target: 90% of high-risk capabilities with formal policies within 12 months
- Measurement: Policy store analysis vs. capability registry
- Reporting: Monthly policy implementation progress reports
-
Formal Verification: Percentage of policies with formal verification proofs
- Target: 100% of production policies with never-errors proofs
- Measurement: Formal verification proof coverage analysis
- Reporting: Weekly verification status reports
-
Test Coverage: Percentage of policies with comprehensive test coverage
- Target: 95% test coverage for all production policies
- Measurement: Automated test coverage analysis
- Reporting: Monthly test coverage reports with gap analysis
Primary Metric: Number and percentage of verification failures caught pre-deployment.
Measurement Components:
-
Pre-Deployment Catch Rate: Percentage of policy errors caught before production deployment
- Target: 99% of policy errors caught in development/testing phases
- Measurement: Error discovery timeline analysis
- Reporting: Weekly error discovery and resolution reports
-
False Positive Rate: Percentage of verification warnings that are false positives
- Target: <5% false positive rate for verification tools
- Measurement: Manual review of verification warnings
- Reporting: Monthly verification tool effectiveness reports
Primary Metric: Number of policy conflicts eliminated through formal analysis.
Measurement Components:
-
Conflict Detection: Number of policy conflicts detected through automated analysis
- Target: 100% of policy conflicts detected before deployment
- Measurement: Cross-store policy analysis results
- Reporting: Monthly policy conflict analysis reports
-
Conflict Resolution: Percentage of detected conflicts resolved before deployment
- Target: 100% of critical conflicts resolved before deployment
- Measurement: Conflict resolution timeline and status tracking
- Reporting: Weekly conflict resolution status reports
Primary Metric: Percentage of tokens validated with complete chain-of-trust verification.
Measurement Components:
-
Chain-of-Trust Validation: Percentage of tokens with complete trust chain validation
- Target: 100% of tokens with validated trust chains
- Measurement: Token validation log analysis
- Reporting: Daily token validation integrity reports
-
Revocation Check Coverage: Percentage of tokens with revocation status verification
- Target: 100% of high-risk tokens with revocation verification
- Measurement: Revocation check log analysis
- Reporting: Daily revocation check coverage reports
Primary Metric: Percentage of cryptographic operations with verified integrity.
Measurement Components:
-
Signature Validation: Percentage of signatures successfully validated
- Target: 100% signature validation success rate
- Measurement: Signature validation log analysis
- Reporting: Daily signature validation reports
-
Key Rotation Compliance: Percentage of keys rotated within required timeframes
- Target: 100% compliance with key rotation policies
- Measurement: Key rotation schedule compliance analysis
- Reporting: Monthly key rotation compliance reports
Primary Metric: Average time from policy change request to production deployment.
Measurement Components:
-
Development Time: Time from policy request to formal verification completion
- Target: <2 weeks for standard policy changes
- Measurement: Policy development lifecycle tracking
- Reporting: Weekly development time analysis reports
-
Review Time: Time from PR submission to approval
- Target: <3 business days for standard policy changes
- Measurement: PR review timeline analysis
- Reporting: Weekly review time analysis reports
-
Deployment Time: Time from approval to production deployment
- Target: <1 business day for standard deployments
- Measurement: Deployment pipeline timeline analysis
- Reporting: Daily deployment time analysis reports
Primary Metric: Percentage of governance processes completed within target timeframes.
Measurement Components:
-
Capability Discovery Efficiency: Time to complete capability discovery and classification
- Target: 100% of capabilities discovered and classified within 30 days
- Measurement: Capability discovery timeline analysis
- Reporting: Monthly discovery efficiency reports
-
Schema Evolution Efficiency: Time to complete schema changes and migrations
- Target: <1 week for standard schema changes
- Measurement: Schema evolution timeline analysis
- Reporting: Weekly schema evolution efficiency reports
Primary Metric: Reduction in security incidents attributable to authorization gaps.
Measurement Components:
-
Incident Reduction: Percentage reduction in authorization-related security incidents
- Target: 75% reduction in authorization-related incidents within 12 months
- Measurement: Security incident analysis and trend tracking
- Reporting: Monthly security effectiveness reports
-
Policy Effectiveness: Percentage of policies achieving intended security outcomes
- Target: 95% of policies achieving intended security outcomes
- Measurement: Policy effectiveness analysis and validation
- Reporting: Quarterly policy effectiveness reports
Primary Metric: Percentage improvement in regulatory compliance posture.
Measurement Components:
-
Compliance Coverage: Percentage of regulatory requirements with policy coverage
- Target: 100% of critical regulatory requirements covered
- Measurement: Compliance requirement mapping and coverage analysis
- Reporting: Monthly compliance coverage reports
-
Audit Readiness: Percentage of audit findings related to authorization governance
- Target: 90% reduction in authorization-related audit findings
- Measurement: Audit finding analysis and trend tracking
- Reporting: Quarterly audit readiness reports
Purpose: High-level metrics for executive decision-making and program oversight.
Dashboard Components:
- Overall Program Health: Composite score based on all metric categories
- Risk Reduction Trends: Trends in security risk reduction and mitigation
- Compliance Status: Current compliance posture and improvement trends
- Resource Utilization: Efficiency metrics and resource optimization opportunities
Purpose: Detailed metrics for operational teams and day-to-day management.
Dashboard Components:
- Policy Development Pipeline: Current status of policy development and deployment
- Verification Status: Current status of formal verification across all policies
- Incident Response: Current security incidents and response status
- System Performance: System performance metrics and optimization opportunities
Purpose: Compliance-focused metrics for audit and regulatory reporting.
Dashboard Components:
- Regulatory Compliance Status: Current status against all applicable regulations
- Evidence Collection Status: Status of evidence collection and validation
- Audit Trail Completeness: Completeness of audit trails and documentation
- Remediation Status: Status of compliance gap remediation efforts
The Trust Governance adoption roadmap provides a structured approach to implementing enterprise authorization governance, starting with a focused MVP and scaling to comprehensive enterprise-wide deployment.
Objective: Establish the foundational Trust Hub platform with basic governance capabilities.
Key Deliverables:
-
Trust Hub Core Platform: Basic Trust Hub deployment with essential services:
- Enterprise schema management with basic entity models
- Policy store management with Cedar policy support
- Basic capability registry with manual capability entry
- Simple federation management for 1-2 trusted issuers
-
Basic Formal Verification: Initial formal verification capabilities:
- Never-errors verification for basic policy validation
- Simple equivalence checking for policy comparison
- Basic static analysis for policy correctness
-
GitHub Integration: Basic GitHub PR workflow integration:
- Automated policy validation on PR submission
- Basic reviewer assignment and approval workflows
- Simple release packaging and distribution
Target Applications: 1-2 priority applications with critical authorization requirements.
Success Criteria:
- Trust Hub platform operational with basic governance capabilities
- 1-2 JWT issuers onboarded with basic token validation
- Priority application policies imported and verified
- Basic capability discovery operational
- PR checks functional with automated verification
- First signed policy store published and deployed
Intentionally Limited Scope:
- Manual capability discovery and classification
- Basic formal verification (never-errors only)
- Single environment deployment (production only)
- Limited federation support (1-2 issuers)
- Basic audit logging without advanced analytics
Objective: Expand formal verification capabilities and add comprehensive policy analysis.
Key Deliverables:
-
Advanced Formal Verification: Comprehensive formal verification capabilities:
- Equivalence and disjointness analysis across policy sets
- Cross-store policy relationship analysis
- Implication analysis for policy refinement
- Advanced SMT solver integration with CVC5
-
Security Event Hub Integration: Real-time security event processing:
- Authorization anomaly detection and alerting
- Automated token revocation workflows
- Step-up authentication integration
- Basic threat intelligence integration
-
SIEM/ITDR Integration: Integration with existing security tools:
- SIEM integration for authorization event correlation
- Identity threat detection and response integration
- Security orchestration and automated response (SOAR) integration
- Threat intelligence feed integration
Target Applications: Top 10-15 applications with significant authorization requirements.
Success Criteria:
- Advanced formal verification operational across all policy stores
- Security Event Hub processing authorization events in real-time
- SIEM/ITDR integration providing enhanced threat detection
- Cross-store policy analysis identifying inconsistencies and gaps
- Automated incident response workflows operational
- 10-15 applications with comprehensive policy governance
New Capabilities Added:
- Automated capability discovery with AI-powered analysis
- Multi-environment deployment (production, staging, development)
- Advanced federation support (5-10 issuers)
- Comprehensive audit analytics and reporting
- Policy performance optimization and monitoring
Objective: Deploy comprehensive enterprise-wide governance with advanced analytics and automation.
Key Deliverables:
-
Full Federation Support: Comprehensive federation management:
- Complete OpenID Federation implementation
- Multi-hop trust chain management and validation
- Cross-domain federation with external partners
- Automated federation health monitoring and incident response
-
Advanced Analytics Platform: Comprehensive analytics and intelligence:
- Machine learning-based anomaly detection
- Predictive analytics for policy effectiveness
- Automated capability-to-control gap analysis
- Enterprise-wide security posture assessment
-
Organization-Wide Evidence Lake: Comprehensive evidence management:
- Immutable evidence storage with cryptographic integrity
- Automated evidence collection and validation
- Compliance reporting and audit trail management
- Forensic analysis capabilities for security incidents
Target Applications: All enterprise applications with authorization requirements.
Success Criteria:
- Full federation chains operational with external partners
- Automated gap analysis identifying missing controls and policies
- Organization-wide evidence lake with comprehensive audit capabilities
- Machine learning-based threat detection and response
- 100% of enterprise capabilities with formal governance
- Advanced compliance reporting and regulatory attestation
Comprehensive Capabilities:
- Complete enterprise capability catalog with automated discovery
- Advanced multi-store analysis across all environments
- Automated policy optimization and performance tuning
- Comprehensive compliance framework with regulatory attestation
- Advanced threat intelligence integration with automated response
Objective: Achieve fully automated governance with advanced AI and machine learning capabilities.
Key Deliverables:
-
AI-Powered Policy Generation: Automated policy generation and optimization:
- Machine learning-based policy generation from business requirements
- Automated policy optimization based on usage patterns
- Intelligent policy refactoring and consolidation
- Automated test case generation and validation
-
Predictive Governance: Proactive governance and risk management:
- Predictive risk assessment and mitigation
- Automated compliance gap detection and remediation
- Proactive policy effectiveness monitoring and optimization
- Automated incident prevention and response
-
Advanced Federation Intelligence: Intelligent federation management:
- Automated federation partner discovery and onboarding
- Intelligent trust negotiation and policy alignment
- Automated federation health monitoring and optimization
- Predictive federation risk assessment and mitigation
Success Criteria:
- AI-powered policy generation reducing manual policy development by 80%
- Predictive risk assessment preventing 90% of authorization-related incidents
- Fully automated compliance management with minimal manual intervention
- Advanced federation intelligence enabling seamless cross-domain collaboration
- Continuous optimization of governance processes based on real-world effectiveness
- Trust Hub platform operational and stable
- 1-2 applications with verified policies deployed
- Basic formal verification operational
- First signed policy store published
- GitHub integration functional
- 10-15 applications with comprehensive governance
- Advanced formal verification operational
- Security Event Hub processing events in real-time
- SIEM/ITDR integration providing enhanced visibility
- Cross-store analysis identifying and resolving inconsistencies
- 100% of enterprise capabilities with formal governance
- Full federation chains operational
- Organization-wide evidence lake with comprehensive audit capabilities
- Advanced analytics providing predictive insights
- Automated gap analysis and remediation
- AI-powered automation reducing manual effort by 80%
- Predictive risk management preventing 90% of incidents
- Fully automated compliance management
- Advanced federation intelligence enabling seamless collaboration
- Continuous optimization based on real-world effectiveness
The Trust Governance architecture addresses enterprise authorization governance risks through comprehensive risk identification, assessment, and mitigation strategies.
Risk Description: Authorization models and schemas evolving inconsistently across the enterprise, leading to policy inconsistencies and security gaps.
Risk Impact:
- High: Policy inconsistencies leading to security vulnerabilities
- Medium: Increased operational complexity and maintenance overhead
- Low: Reduced system performance and user experience degradation
Mitigation Strategies:
-
Continuous Schema Compatibility Checks: Automated schema compatibility analysis across all policy stores:
- Real-time schema compatibility validation during policy development
- Automated impact analysis for schema changes across all environments
- Cross-store schema consistency monitoring and alerting
- Automated migration script generation for schema evolution
-
Impact PR Comments: Automated impact analysis integrated into GitHub PR workflow:
- Automated PR comments detailing schema change impact
- Affected policy identification and notification
- Downstream system owner notification and approval requirements
- Rollback procedure documentation and validation
-
Schema Versioning Strategy: Comprehensive schema versioning and compatibility management:
- Semantic versioning for schema changes with backward compatibility
- Automated compatibility matrix maintenance across environments
- Schema evolution planning and migration strategy development
- Cross-environment schema synchronization and validation
Monitoring & Detection:
- Automated schema drift detection across all policy stores
- Real-time alerting for schema inconsistencies
- Weekly schema compatibility reports with trend analysis
- Quarterly schema evolution planning and impact assessment
Risk Description: Unauthorized or undocumented policies deployed outside the Trust Hub governance framework, creating security blind spots and compliance gaps.
Risk Impact:
- Critical: Undetected security vulnerabilities and compliance violations
- High: Policy conflicts and authorization inconsistencies
- Medium: Audit failures and regulatory compliance issues
Mitigation Strategies:
-
Central Policy Store Publication: Mandatory central policy store publication for all authorization policies:
- Automated policy discovery across enterprise systems
- Central policy store as single source of truth for all policies
- Automated policy synchronization and conflict detection
- Policy store integrity verification and monitoring
-
Cross-Store Analysis: Comprehensive analysis to detect policy divergence and conflicts:
- Automated cross-store policy comparison and analysis
- Policy relationship mapping and dependency analysis
- Divergence detection and reconciliation workflows
- Policy conflict identification and resolution procedures
-
Policy Discovery Automation: Automated discovery of unauthorized or undocumented policies:
- Continuous scanning for unauthorized policy deployments
- Automated policy inventory and lineage tracking
- Shadow policy detection and remediation workflows
- Policy compliance monitoring and enforcement
Monitoring & Detection:
- Daily policy store integrity verification across all environments
- Weekly cross-store policy analysis with divergence detection
- Monthly policy discovery scans with shadow policy identification
- Quarterly policy compliance audits with remediation tracking
Risk Description: Formal verification gaps where policies lack adequate proof coverage, leading to undetected policy errors and security vulnerabilities.
Risk Impact:
- Critical: Undetected policy errors leading to security vulnerabilities
- High: Authorization failures and system compromises
- Medium: Compliance violations and audit failures
Mitigation Strategies:
-
Control Specifications Maintenance: Comprehensive control specifications maintained alongside policies:
- Formal control specifications for all security requirements
- Automated control-to-policy mapping and validation
- Control specification versioning and change management
- Control effectiveness measurement and optimization
-
Mandatory Proof Requirements: Formal verification proofs required for all policy merges:
- Never-errors proofs mandatory for all production policies
- Equivalence and disjointness proofs for policy sets
- Cross-store relationship proofs for multi-store policies
- Token integrity proofs for all issuer configurations
-
Proof Coverage Analysis: Comprehensive analysis of formal verification coverage:
- Automated proof coverage analysis across all policies
- Proof effectiveness measurement and optimization
- Proof gap identification and remediation planning
- Proof quality assessment and improvement
Monitoring & Detection:
- Daily proof coverage analysis across all policy stores
- Weekly proof effectiveness measurement and optimization
- Monthly proof gap identification and remediation planning
- Quarterly proof quality assessment and improvement
Risk Description: Compromise or misconfiguration of federation partners leading to unauthorized access and security breaches.
Risk Impact:
- Critical: Unauthorized access through compromised federation relationships
- High: Cross-domain security incidents and data breaches
- Medium: Federation relationship degradation and service disruption
Mitigation Strategies:
-
Continuous Federation Monitoring: Real-time monitoring of federation partner health and security:
- Automated federation partner health checks and validation
- Real-time trust chain validation and monitoring
- Federation incident detection and response workflows
- Automated federation partner security assessment
-
Dynamic Trust Management: Automated trust management with rapid incident response:
- Automated trust revocation and suspension capabilities
- Dynamic trust level adjustment based on security posture
- Automated federation partner re-validation and re-onboarding
- Emergency federation isolation and containment procedures
-
Federation Security Standards: Comprehensive federation security standards and validation:
- Mandatory federation security requirements and validation
- Automated federation compliance checking and enforcement
- Federation security incident response and recovery procedures
- Cross-federation security coordination and information sharing
Risk Description: Authorization performance degradation due to complex policy evaluation and formal verification overhead.
Risk Impact:
- Medium: User experience degradation and system performance issues
- Low: Increased operational costs and resource utilization
- Low: Reduced system scalability and availability
Mitigation Strategies:
-
Policy Performance Optimization: Continuous policy performance optimization and monitoring:
- Automated policy performance analysis and optimization
- Policy evaluation caching and optimization strategies
- Performance benchmarking and continuous improvement
- Resource utilization monitoring and optimization
-
Scalable Architecture: Horizontal scaling and performance optimization:
- Policy decision point (PDP) horizontal scaling capabilities
- Distributed policy evaluation and caching strategies
- Load balancing and performance optimization
- Automated scaling based on performance metrics
-
Performance Monitoring: Comprehensive performance monitoring and alerting:
- Real-time authorization performance monitoring
- Performance degradation detection and alerting
- Automated performance optimization and tuning
- Performance trend analysis and capacity planning
Risk Description: Failure to meet regulatory compliance requirements leading to audit failures and regulatory penalties.
Risk Impact:
- High: Regulatory penalties and legal liability
- Medium: Audit failures and compliance remediation costs
- Low: Reputation damage and business disruption
Mitigation Strategies:
-
Automated Compliance Monitoring: Continuous compliance monitoring and validation:
- Real-time compliance status monitoring and alerting
- Automated compliance gap detection and remediation
- Compliance evidence collection and validation
- Regulatory requirement mapping and tracking
-
Comprehensive Audit Trail: Immutable audit trail with complete evidence collection:
- Comprehensive audit logging with cryptographic integrity
- Automated evidence collection and validation
- Long-term evidence retention and retrieval capabilities
- Forensic analysis capabilities for compliance verification
-
Compliance Framework Integration: Integration with enterprise compliance frameworks:
- SOC 2, ISO 27001, PCI DSS, HIPAA, GDPR compliance support
- Automated compliance reporting and attestation
- Compliance dashboard and monitoring capabilities
- Regulatory change management and adaptation
Risk Description: Dependence on specific vendors or technologies limiting flexibility and increasing costs.
Risk Impact:
- Medium: Reduced flexibility and increased operational costs
- Low: Technology obsolescence and migration complexity
- Low: Limited innovation and competitive disadvantage
Mitigation Strategies:
-
Open Standards Adoption: Comprehensive adoption of open standards and protocols:
- OpenID Connect, OAuth 2.0, OpenID Federation standards
- Cedar policy language and ecosystem
- Standardized APIs and integration protocols
- Open source tool adoption and contribution
-
Multi-Vendor Strategy: Multi-vendor approach with standardized interfaces:
- Multiple policy decision point (PDP) vendor support
- Standardized policy store formats and interfaces
- Vendor-neutral federation and trust management
- Technology abstraction and portability layers
-
Migration Planning: Comprehensive migration planning and execution capabilities:
- Technology migration planning and execution
- Vendor transition planning and risk mitigation
- Technology evolution and adaptation strategies
- Innovation adoption and competitive advantage
Continuous Risk Assessment: Regular risk assessment and mitigation planning:
- Monthly risk assessment and mitigation review
- Quarterly risk trend analysis and strategic planning
- Annual comprehensive risk assessment and framework update
- Incident-based risk assessment and mitigation updates
Incident Response: Comprehensive incident response procedures for risk realization:
- Automated incident detection and alerting
- Incident response procedures and escalation
- Post-incident analysis and risk mitigation updates
- Continuous improvement based on incident learnings
Risk Reporting: Comprehensive risk reporting and governance:
- Executive risk dashboard with key risk indicators
- Operational risk reports with mitigation status
- Compliance risk reports with regulatory status
- Board-level risk reporting and governance oversight
Pre-Submission Requirements:
- Automated Capability Extraction Updated: All policy changes automatically extracted and cataloged in capability registry
- Formal Verification Proofs Attached: All required formal verification proofs attached to PR:
- Never-errors proof for policy correctness
- Equivalence/disjointness analysis if applicable
- Cross-store relationship verification if applicable
- Token integrity proofs if issuer-related changes
- Required Reviewers Assigned: Automated reviewer assignment based on risk classification:
- Risk Officer approval for high-risk changes
- Schema Steward approval for schema-related changes
- Policy Reviewer approval for policy correctness
- Domain Expert approval for business-specific changes
- CI Pipeline Passing: All automated checks passing:
- Policy syntax and type validation
- Formal verification proofs validation
- Cross-store compatibility checks
- Performance benchmarking
- Release Notes Templated: Comprehensive release notes prepared with:
- Change description and business justification
- Impact analysis and affected systems
- Rollback procedures and validation
- Testing evidence and validation results
Post-Merge Validation:
- Policy Store Packaging: RFC-compliant policy store package created
- Distribution Validation: Policy store successfully deployed to target environments
- Integration Testing: End-to-end integration testing completed
- Performance Validation: Performance benchmarks meeting SLOs
Pre-Submission Requirements:
- Compatibility Analysis Completed: Comprehensive compatibility analysis across all policy stores:
- Cross-store schema compatibility validation
- Policy impact assessment for schema changes
- Migration strategy developed with rollback procedures
- Performance impact assessment completed
- Affected Policies Listed: Complete inventory of policies affected by schema changes:
- Policy-by-policy impact analysis
- Required policy updates identified and planned
- Policy migration timeline and dependencies
- Cross-store policy relationship analysis
- Downstream App Owners Notified: All affected application owners notified and engaged:
- Notification sent with impact assessment
- Approval obtained from affected application owners
- Integration testing coordinated with application teams
- Deployment timeline coordinated across teams
- Sample Vectors Updated: Test vectors and examples updated for schema changes:
- Unit test cases updated for new schema
- Integration test cases updated for schema changes
- Performance test cases updated for schema impact
- Documentation updated with schema examples
Post-Merge Validation:
- Schema Migration Executed: Automated schema migration completed successfully
- Policy Updates Deployed: All affected policies updated and deployed
- Application Integration Validated: All downstream applications validated with new schema
- Performance Validation: Schema change performance impact within acceptable limits
Pre-Release Validation:
- RFC-Compliant Package: Policy store package compliant with Cedar Policy Store specification:
- Directory layout following standard structure
- Archive format (.cjar) with proper metadata
- Version information and change history
- Dependency tracking and compatibility matrix
- Signatures and Checksums: Cryptographic integrity verification:
- Digital signatures for all release artifacts
- Checksums for content integrity validation
- Timestamp authorities for signature verification
- Signature validation procedures documented
- Issuer Validation Rules Snapshot: Current issuer configuration captured:
- Issuer metadata and configuration snapshot
- Public key information and validation rules
- Token validation policies and procedures
- Federation relationship and trust chain information
- Distribution Targets Identified: Clear distribution plan and targets:
- Target environments and deployment sequence
- Policy decision point (PDP) deployment targets
- Federation partner notification and coordination
- Rollback targets and procedures
Post-Release Validation:
- Rollback Points Established: Comprehensive rollback procedures prepared:
- Rollback triggers and decision criteria
- Rollback procedures and validation steps
- Rollback timeline and coordination procedures
- Rollback testing and validation completed
- Deployment Verification: Successful deployment across all targets:
- Policy store integrity verification on all PDPs
- Issuer configuration validation
- Federation relationship health checks
- End-to-end authorization testing completed
- Monitoring Activation: Comprehensive monitoring activated:
- Authorization decision logging activated
- Performance monitoring activated
- Security monitoring activated
- Incident response procedures activated