A full AI chain that runs the entire penetration test, end to end.
You provide the scope and any context you want to share. The agent handles everything else: testing, validating its own findings, and reporting. When you fix the reported issues, it runs a retest to confirm they're resolved, closing the loop without a human in the middle.
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1
You provide the scope
Define the targets, rules of engagement, and any context or credentials you want to share. That is the only input the agent needs.
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2
The agent tests
It maps the in-scope attack surface, probes for weaknesses, and chains low-severity issues into realistic, high-impact attack paths.
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3
The agent validates
Every candidate finding is verified for real exploitability, so the report contains confirmed issues, not scanner noise or false positives.
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4
The agent reports
Findings arrive ranked by business risk, each with evidence and practical remediation your engineers can act on immediately.
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5
The agent retests
Once you fix the reported vulnerabilities, the agent re-runs against the same scope to confirm each issue is resolved, and flags anything still open.
Attacker-minded reconnaissance
The agent maps your in-scope attack surface and reasons about how a real adversary would move through it.
Chained exploitation
It combines low-severity issues into high-impact attack paths that isolated scanners miss.
Self-validating findings
The agent confirms exploitability on its own, so what lands in the report is real and actionable.
Fix-and-retest loop
Deploy your fixes and the agent verifies them automatically, proving remediation instead of assuming it.
