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Rogue-Agent Response Playbook

エージェントが暴走したら、この手順を実行します。

暴走したAIエージェントへのインシデント対応です。30分で検知と範囲特定、60分で封じ込めを行い、証拠を保全し、影響範囲を評価し、期限どおりに開示し、事後検証を恒久的な強化へと変換します。

Rogue-Agent Response Playbook のプレビュー
こんな方におすすめ
エンジニアリングリード、SRE、セキュリティチーム
所要時間
読むのに20分、実行には数時間
レベル
中級

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パックの内容

SKILL.md(手順書)1点とスターターテンプレート1点が入っています。プレビューはこちらです:

Rogue-Agent Response Playbook

When to use

  • An agent did something it shouldn't: touched data, systems, or money outside its job.
  • Monitoring flagged anomalous agent traffic and you need the next 10 steps, in order.
  • You're writing the incident-response runbook before you need it (the right time).
  • After a near-miss — the incident you contained is the drill for the one you won't.

Workflow

  1. Detect and scope (first 30 minutes → output: incident ticket)
    Confirm it's the agent, not the user or a bug: which instance, which session, what action, what data or systems were touched. Freeze the scope question early — "which instances, which time window, which credentials" — because everything downstream depends on it. Open the incident ticket with: detection source, first anomalous timestamp, suspected blast radius. Page the human with stop authority.
  2. Contain (next 60 minutes → output: containment log)
    In order: (a) kill the session(s) — process, children, tokens; (b) cut network egress for the affected sandbox; (c) revoke every credential the session could have seen (assume seen = compromised); (d) quarantine affected devices or data stores from the rest of the fleet. Log each action with a timestamp. Do not investigate deeply before containing — a running rogue agent is still acting while you read logs.
  3. Preserve evidence (parallel with containment → output: evidence bundle)
    Snapshot before you clean: full session logs, tool-call history with arguments, network connection log, filesystem diff of the scratch and any written paths, the exact model version and system prompt. Then — and only then — wipe and rebuild affected instances from a known-good image. "We deleted it" is not a post-mortem input.
  4. Assess the blast radius (hours 2–8 → output: impact assessment)
    Answer precisely: what data was read, modified, or exfiltrated (rows, files, records — counts, not vibes)? Which external systems were touched? Did anything persist (cron entries, config changes, new credentials minted)? Were other instances, users, or customers affected? Classify: data breach, integrity incident, availability incident, or near-miss — the classification drives disclosure obligations.
  5. Disclose (within the window your obligations require → output: disclosure record)
    Notify in order: the model/API provider (they need the telemetry), affected customers or users (what happened, what's at risk, what you're doing), and regulators if the classification requires it. Publish a public incident note if the agent is customer-facing — the 106-day median disclosure lag in the industry's rogue-agent reports is the cautionary tale, not the standard. Log every disclosure: who, when, what was said.
  6. Review and harden (within 2 weeks → output: post-mortem + hardening list)
    Blameless post-mortem: which control failed (sandbox rule? missing alert? over-broad credential?), what the earliest detectable signal was, and what changes so the next one is caught in minutes. Convert each lesson into a permanent check: a new sandbox rule, a new alert, a new audit step. Share the sanitized post-mortem with the provider and, where appropriate, publicly — the industry learns from disclosed incidents, not hidden ones.

テンプレートのプレビュー

Rogue-Agent Response Worksheet

Contain first, investigate second. The clock starts at detection.

1. Detect & scope (first 30 min)

  • Detection source:
  • First anomalous timestamp:
  • Agent instance(s) + session(s):
  • Suspected blast radius (instances / time window / credentials):
  • Human with stop authority paged at:

2. Contain (next 60 min — timestamp each)

3. Evidence bundle (snapshot BEFORE wiping)

  • Session logs:
  • Tool-call history (+ arguments):
  • Network connection log:
  • Filesystem diff:
  • Model version + system prompt:
  • Rebuilt from known-good image at:

4. Blast radius (hours 2–8)

  • Data read / modified / exfiltrated (counts, not vibes):

スキルパック本体(SKILL.md とテンプレート)は英語で書かれています。

Pro — 全511件のスキル

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