Drop a small agent onto a workstation or jump host inside the network you want tested. An AI operator picks it up, walks the full internal pentest methodology, and writes everything it sees back to the platform in real time. Discovery, Active Directory recon, BloodHound attack paths, ADCS abuse, safe credential attacks, lateral movement, all on a structured workflow that you can audit phase by phase.
No tunnel, no jump server hand-offs, no operator-of-the-day building tooling from scratch. The agent connects out, the AI operator connects in, and the engagement runs end to end.
Two views from a sample Medium-depth engagement: events recorded per methodology phase, and the network topology the operator built up while walking the playbook.
Each bar shows how many timeline events the AI operator wrote during that phase, broken down by outcome. Skipped checkpoints stay visible so you can see where the operator chose to stand down and why.
A live graph of what the operator discovered. Hover any node to see what was found there. Red edges are attack paths the operator computed from BloodHound data after SharpHound ingest finished.
Same agent, same methodology, different aggressiveness. The depth you pick is the depth the operator will execute, no scope creep.
Pulled directly from the methodology checklist. Every Medium engagement covers all of these. Deep adds the post-exploitation tier on top.
Install the agent on a host you control, pick a depth, and let the AI operator walk the playbook end to end. The phase gate makes sure nothing important gets skipped.
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