Inspect, audit, and firewall autonomous web agent actions. Prevent out-of-scope domain traversal, sovereign government website tampering, and unverified form mutations.
| Seq | Verb | Target Domain & Path | Agent Intent | Disallowed Policy | Enforcement Outcome |
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When autonomous AI agents are equipped with browser tools, headless navigation, or web search capabilities, autonomous subgoal planning can cause unpredictable domain hopping. An agent tasked with "gather public data" or "verify credentials" can naturally crawl hyperlinks directly into state or federal .gov portals, triggering automated form submission or scraping that violates federal computer access guidelines.
Real-world agent isolation requires client-side egress proxies, deterministic domain fencing, and strict verb quarantine before requests touch the open Internet.
Autonomous worker threads must be pre-configured with strict TLD blacklists (.gov, .mil, .edu, or municipal networks). If an agent attempts navigation to these domains, the action is routed to human-in-the-loop review.
Prevent POST, PUT, DELETE, and interactive DOM clicks on buttons matching submission patterns unless the origin is verified on an explicit allowlist.
Validate the agent's reported internal goal against the destination endpoint semantics. If an agent claims to "read weather info" but targets a portal login URL, interdict immediately.