Escape

Escape is an offensive security platform built around two testing layers: agentic AI penetration testing for complex, multi-step attack chains and business-logic-aware DAST that runs on every release. Its multi-agent system rather than a single model pointed at a target. An orchestrator plans the engagement and spawns specialist agents on demand, so the shape of an assessment follows what the application turns out to be rather than a fixed script. A coverage agent hunts for surface that has not been tested. A reporter agent independently reproduces every candidate finding on the live target before it is filed, which is the step that separates a proven attack chain from a plausible one. The system also retains context between engagements. It holds what it has learned about your user roles, which services handle payments, and where sensitive data sits, so each assessment builds on the last rather than starting cold. Existing bug bounty submissions and manual pentest reports can be ingested as further context. Escape is aimed at mid-market and enterprise organizations with a central security team and highly distributed engineering.