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Simulate agent runaway or unsafe browser action

P3 Agent systemS3M9D2D7D9D11C6
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Week 17: Runaway Agent Drill, Incident Playbooks & Comprehensive AI Governance Mapping

The five hours

  1. 01

    Concepts & system design

    60 min

    R33 — Playwright context teardown

    R41 — OWASP Agentic containment & stop mechanisms

    Read the assigned sections; map the mechanism, threat model and trade-offs.

  2. 02

    Project implementation

    120 min

    Simulate a runaway agent loop or unsafe browser/computer-use action (D9).

    Build, integrate, debug and improve the increment in the active project.

  3. 03

    Security lab

    60 min

    Trigger the emergency kill-switch / human takeover (C6), revoke in-flight D7 delegated tokens and D2 MCP sessions, preserve minimal redacted forensic state in D11, and audit partial side effects.

    Test the abuse case, failure path, authorization bypass or resource limit.

  4. 04

    Verification & evidence

    30 min

    Post-incident drill report and kill-switch latency/containment log for Drill 4.

    Add or run regression tests; record the 9-point evidence record.

  5. 05

    Deliberate practice & Socratic review

    30 min

    Answer the 8 Socratic questions without notes: What? Why? How? What if? Why not? How can I prove it? Where can it break? What have I learned?

    Re-explain the hardest concept aloud, inspect one edge case, update the gap log.

  6. total5 h

Read today · inside the concepts block

R33 R41

Read only the named sections needed for today's task. Reading sits inside the 60-minute concepts block; it is not extra time.

Free resources for this day

5 curated
  • docsPlaywright
    Trace viewer

    Records per-action DOM snapshots, screenshots and network calls, giving you the tamper-evident record to compare against D9's pixel and coordinate verification after a runaway action.

    R33checked 2026-11-11
  • videoIBM Technology · 8:59
    Top 10 Security Risks in AI Agents Explained

    Frames excessive agency and tool misuse as named risks, which is the lens for judging whether an agent loop was merely inefficient or genuinely unsafe.

    R41checked 2026-11-11
  • videoInternet of Bugs · 8:43
    Don't Use Any AI Agents or Browsers Until You Watch This

    Demonstrates real browser-agent failure modes and unsafe actions, giving you concrete runaway scenarios to reproduce in the drill.

    R41checked 2026-11-11
  • articleSimon Willison's Weblog
    The lethal trifecta for AI agents: private data, untrusted content, and external communication

    States precisely which three capabilities combine into exfiltration, the rule that decides when a browser action must halt and hand control back to a human.

    R41checked 2026-11-11
  • repoGitHub
    browser-use/browser-use

    A real browser agent with domain allowlists, prohibited domains, IP blocking and structured downloads, so you can wire and then deliberately break each guardrail during the runaway test.

    R41checked 2026-11-11

Evidence record · 9-point standard

0/9

A lab is complete only when it produces evidence. Installing PyRIT, Garak, Presidio or TransformerLens is not completion. Saved on this device only.

Day notes

empty

The two source formulations

verbatim · nothing summarised

Project & Deliverable Target

Incident Drill 4 (P3, C6) | `D2`, `D7`, `D9`, `D11` | M9, S3

Core Implementation

Simulate a runaway agent loop or unsafe browser/computer-use action (D9).

Security Lab

Trigger the emergency kill-switch / human takeover (C6), revoke in-flight D7 delegated tokens and D2 MCP sessions, preserve minimal redacted forensic state in D11, and audit partial side effects.

Verification & Evidence

Post-incident drill report and kill-switch latency/containment log for Drill 4.

Read Today (60m Concepts Block)

R33 (Playwright context teardown), R41 (OWASP Agentic containment & stop mechanisms).

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