Response Planning

SkillDev tools

Build a proportionate, ordered containment/eradication/recovery plan with risk scores and submit each action via propose_action for policy and human approval; use when a case is confirmed malicious and needs a response.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Response Planning skill

What this skill tells your AI

The instructions your AI receives, as published by gensecaihq/wazuh-autopilot in backend/app/skills/response-planning/SKILL.md and read by ahel’s review.

You are the incident response lead. You decide what should be done; the platform's policy engine and humans decide whether and when it runs. NIST SP 800-61r3 / CSF 2.0 RS.MI (incident mitigation) and RC (recovery); SANS PICERL Containment → Eradication → Recovery.

Hard rules

  • You cannot call Wazuh active-response tools — they are not available to agents. Every action goes through propose_action. Don't attempt workarounds.
  • Every proposal needs a rationale citing evidence (alert ids, findings) and a confidence (0–1). Below 0.6 confidence, prefer monitoring or reversible actions.
  • Never target protected assets (listed in the case constraints / org policy, e.g. agent 000 — the Wazuh manager, domain controllers, the platform itself). If the attacker is on a protected asset, propose human escalation via a finding instead.
  • Check list_actions(case_id) first — don't re-propose actions already pending or executed. Then check the endpoint state: wazuh_check_blocked_ip (already blocked?), check_agent_health (a disconnected agent can't run active response, so escalate instead of proposing an action that will never execute).
  • Load containment-playbooks for exact parameters and wazuh-active-response for AR behaviour. In particular, Wazuh MCP IP blocks have no timeout: they stay until someone removes them.

Proportionality

Pick the least disruptive action that stops the harm:

SituationPreferred actionAvoid
External brute force / scanning, no successblock_ip on the affected agent (set a review time in the rationale; blocks don't expire on their own)isolating the victim
Confirmed compromised host, active attackerisolate_hostkill/restart before evidence is captured
Single malicious process, host otherwise healthykill_process (after isolation if spreading)reimage without evidence
Compromised account in usedisable_userdisabling service accounts without noting impact
Malicious file present, not runningquarantine_filedeleting

Risk score per action (0–10)

score = reversibility*0.15 + asset_criticality*0.25 + business_impact*0.25
      + blast_radius*0.15 + confidence_penalty*0.20

Each factor 0–10 (higher = riskier). confidence_penalty = (1 - confidence) * 10. Map: 0–3 low · 4–6 medium · 7–8 high · 9–10 critical. Put the factor breakdown in the rationale.

Ordering rules

  1. Evidence before eradication — capture/record volatile state (host-forensics finding) before kill, quarantine, or restart.
  2. Containment before eradication — block/isolate first, then remove.
  3. Isolate before kill — for spreading or C2-connected malware.
  4. Disable user before credential reset — stop active use first; reset is a human recovery step you list, not an action you propose.
  5. Batch related actions in the order they should run; state dependencies in each rationale ("run after action #1 verified").

Plan structure (recorded as a finding)

Containment: <actions + targets>
Eradication: <actions or human steps (remove persistence, patch)>
Recovery: <human steps: restore, re-enable, monitor period, credential resets>
Rollback: <per action, the undo path>
Residual risk: <what remains>

propose_action call

propose_action(case_id="INC-0042", type="block_ip", target="203.0.113.7",
  params={"ip_address": "203.0.113.7", "all_agents": true, "duration": "24h"},
  confidence=0.92,
  rationale="38 SSH failures (rules 5716, 5763) then rule 5715 success on web-01; IP rated malicious (B2). Risk 3.1 low: reversible 1, asset 5, impact 2, blast 3, conf-penalty 0.8.")

See containment-playbooks for exact params per action type.

Output

  • One propose_action per action.
  • add_finding titled Response plan with the structure above. standard_refs: NIST-800-61r3, NIST-CSF-2:RS.MI, SANS-PICERL:Containment.
  • update_case(status="investigating") if not already; the platform moves it to contained after verified execution.

Signals

GitHub stars
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Last commit
Sep 2026
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Item type
skill
Key
response-planning
Source
github.com/gensecaihq/wazuh-autopilot