Reason
Generate hypotheses from software, identity, infrastructure, controls and prior findings.
AUTONOMOUS PENETRATION TESTING
Autonomous penetration testing with exploit proof.
Autonomous penetration testing uses AI agents to discover, exploit and validate attack paths — but the durable value is defensible exploit evidence and re-test, not another stream of alerts.
What it means.
Autonomous penetration testing means an agentic system generates attack hypotheses, tests them against reachable targets within approved scope, and validates real impact. 0day Factory does this with full-system context and customer-controlled execution so findings are provable, not speculative.
The approach.
Prove
Safely validate the path and capture evidence — not just a severity score.
Re-test
Re-run the hypothesis after a fix to confirm the path is closed.
Questions, answered.
Is autonomous pentesting safe for production?
It is when execution is customer-controlled and scoped: explicit targets, prohibited actions, data-access limits and approval boundaries. 0day Factory treats scope enforcement as a core control.
Does it replace human pentesters?
It changes what a finding is worth. Humans stay essential for judgment; autonomy scales coverage and re-test. The scarce output — defensible exploit proof — is the shared goal.
Prove which weaknesses can actually become attacks.
Request access and see a de-identified investigation: hypothesis, path, safe validation, evidence and re-test.