Ghostcrew

The problem

Penetration testing is expert-bound and sequential. Each finding suggests the next probe, so coverage is limited by how much time a skilled tester can spend iterating manually.

The approach

Built an autonomous AI agent that plans, executes, and iterates penetration testing workflows on its own. The agent combines tool-use with persistent memory so results from earlier probes inform later ones, closing the plan-execute-observe loop without a human in the middle of every step.

Results

• Plans, executes, and iterates pentest workflows autonomously.
• Tool-use plus memory lets findings compound across a run.
• Security assessment coverage no longer bounded by manual iteration speed.

Engineering notes

Autonomous tool-use against live infrastructure needs hard guardrails — bounded iteration and explicit scoping matter more here than raw agent capability.