AIFlowOS

AI Incident Response Playbook Builder | AIFlowOS

Build a structured incident response playbook with AI-assisted decision trees. Define phases, roles, actions, and escalation paths for any incident type.

Playbook Structure

Phase 1: PreparationSetup

Define incident severity levels, response team roles, communication channels, and tool integrations. Establish baseline metrics for MTTR, MTTD, and escalation frequency.

Phase 2: Detection & AnalysisAI-Driven

AI agent ingests alerts, enriches with context, correlates across sources, and determines severity. Human analyst validates critical findings.

Phase 3: ContainmentAutomated

AI executes containment actions within guardrails: isolate endpoints, block IPs, disable accounts. High-risk actions require human approval.

Phase 4: Eradication & RecoveryGuided

AI agent guides remediation steps, verifies threat removal, and monitors for recurrence. Automated rollback of changes where applicable.

Phase 5: Post-IncidentContinuous

Auto-generated incident report with timeline, decisions, and recommendations. Playbook is updated based on lessons learned.

Decision Tree Example

ALERT DETECTED
├─ Severity ≤ 3 ? → Auto-triage → Log & notify low-priority channel
├─ Severity 4-6 ? → AI enrich → Recommend action → Human approve?
│ ├─ Yes → Execute playbook → Log decision
│ └─ No → Escalate to Level 2 analyst → Incident created
└─ Severity 7+ ? → Containment actions auto-execute → Notify SOC manager → Full investigation

FAQ

What is an AI incident response playbook?

An AI incident response playbook is a structured, machine-readable set of procedures that guides an AI agent through detection, triage, containment, eradication, recovery, and post-incident review.

How does AI improve incident response?

AI reduces MTTR by 97% by automating triage, enrichment, and initial containment. It ensures consistent execution of playbooks and provides a complete audit trail.

What are the standard phases of an incident response playbook?

The standard phases are: Preparation, Detection & Analysis, Containment, Eradication, Recovery, and Post-Incident Activity (NIST SP 800-61 framework).

Can I customise playbooks for different incident types?

Yes. AIFlowOS supports per-incident-type playbooks with custom decision trees, approval thresholds, communication templates, and escalation paths.