AI penetration testing vs manual pentesting.
A manual penetration test is a skilled team working against your scope for a fixed window, usually once or twice a year. Autonomous AI testing runs the same recon-exploit-report loop continuously. They solve different problems, and most mature programmes use both.
| Cyrion (autonomous AI) | Manual penetration test | |
|---|---|---|
| Cadence | Continuous or on every release | Typically annual or quarterly |
| Time to first findings | Hours | Days to weeks, after scheduling |
| Coverage | Entire in-scope surface, every run | Limited by consultant days |
| Evidence | Reproduction steps and request logs for every finding | Varies by tester and firm |
| Novel and business-logic attacks | Good on known patterns and chains; improving on novel logic | Strongest — human creativity and context |
| Social engineering and physical | Out of scope | Available |
Where AI testing wins
Breadth and repetition. Production changes daily, and an annual test is a snapshot of one week. Continuous agentic testing re-tests every change, catches regressions and keeps evidence current for auditors.
Where human testers still matter
Novel exploitation, complex business-logic abuse, social engineering and anything that needs organisational context. Cyrion is designed to take the repetitive work off human testers, not to pretend it replaces them.
Using both
Run Cyrion continuously across your surface and point your human testers, internal or external, at the areas where judgment matters most. Their time goes further because recon and known-pattern testing are already done.