| description | Digital Forensics & Incident Response | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| cover | ../../.gitbook/assets/RootGuardDFIRLandingPage.png | ||||||||||||||||||||||||||||||||
| coverY | 0 | ||||||||||||||||||||||||||||||||
| layout |
|
The discipline of investigating, containing, and remediating cyber incidents—combining investigative rigour with operational speed.
DFIR integrates two complementary capabilities:
| Digital Forensics | Incident Response |
|---|---|
| Evidence preservation & chain of custody | Real-time threat containment |
| Timeline reconstruction | Rapid triage & escalation |
| Artifact & malware analysis | Eradication & recovery |
| Attribution & root cause | Stakeholder coordination |
Together, they enable organisations to detect intrusions, understand scope, eliminate threats, and prevent recurrence.
Modern adversaries move fast. The data speaks for itself:
| Metric | Current State |
|---|---|
| Median time to exfiltration | 2 days (45% within 24 hours) |
| Ransomware dwell time | 5 days |
| Average breach cost | $4.88M |
| Breaches involving cloud data | 82% |
| Repeat incidents (incomplete remediation) | 67% |
Sources: IBM Cost of a Data Breach 2024, Mandiant M-Trends 2024, Unit 42 IR Report 2024
Without effective DFIR, organisations face extended dwell times, incomplete remediation, regulatory penalties, and catastrophic business disruption.
What we're up against:
- Nation-state APTs — Salt Typhoon, Volt Typhoon conducting multi-year intrusions using LOTL techniques
- RaaS Operations — LockBit, BlackCat, Qilin, RansomHub with double/triple extortion (87% of attacks)
- Supply Chain Attacks — Snowflake breach (165+ customers), credential theft at scale
- Identity Compromise — Stolen credentials remain top attack vector (292 days to detect)
- AI-Enhanced Threats — GenAI-powered phishing, deepfakes, automated reconnaissance
Proactive threat hunting, behavioural analytics, XDR correlation, and anomaly detection across hybrid environments.
Timeline reconstruction, memory forensics, cloud audit analysis, malware reverse engineering, and artifact examination.
Rapid isolation, lateral movement prevention, persistence removal, and validated clean-state recovery.
IOC extraction, TTP mapping to MITRE ATT&CK, detection engineering, and lessons learned integration.
Investments in DFIR capabilities deliver measurable returns:
| Capability | Impact |
|---|---|
| AI/automation in prevention | $2.2M cost reduction |
| Tested IR plan + dedicated team | $248K savings |
| Law enforcement engagement | ~$1M savings, 63% avoid ransom |
| XDR implementation | 29 days faster containment |
| Internal detection capability | $1M savings vs external notification |
| Category | Examples |
|---|---|
| Endpoint Forensics | Velociraptor, KAPE, CyLR |
| Memory Analysis | Volatility, MemProcFS |
| Log Analysis | Chainsaw, Hayabusa, SIEM/XDR |
| Network Forensics | Zeek, Wireshark, full PCAP |
| Cloud Forensics | Native audit logs, CIEM tools |
| Automation | SOAR platforms, custom playbooks |
{% hint style="info" %} This resource covers practical DFIR workflows, investigation techniques, detection engineering, and operational playbooks for security practitioners working in hybrid enterprise environments. {% endhint %}
What you'll find here:
- Investigation playbooks for common incident types
- KQL and detection queries for threat hunting
- Forensic artifact analysis guides
- Response procedures and checklists
- Tool configurations and automation scripts