Interlock

Interlock is a security operations platform for autonomous AI agents that prevents untrusted content, compromised context, or model-generated instructions from silently expanding agent authority. Its managed web-research agent monitors approved HTTPS sources, uses an Akash-hosted Qwen model to generate cited briefs and typed action proposals, and routes every action through deterministic policy checks before execution. Unauthorized tools, capabilities, or destinations are blocked immediately, the agent is contained, and the full incident context is preserved, including source evidence, memory lineage, policy decisions, model metadata, and action history. A React dashboard with FastAPI and SQLite provides live monitoring, incident dossiers, provenance, diagnostics, analytics, and recovery controls. Events are exported to ClickHouse for analytics while SQLite remains authoritative. Investigations run in a pinned Guild sandbox using sanitized evidence. Investigator state, runtime metadata, tasks, and findings are tracked separately to avoid treating model output as verified isolation. Qwen may provide advisory root-cause analysis but cannot change policy, release containment, or resume agents. Interlock is an evidence-first control plane for detecting unauthorized behavior, containing it before execution, investigating safely, and requiring explicit human approval before recovery.