FireCompass

What is agentic AI penetration testing?

Agentic AI penetration testing uses autonomous AI agents to find, exploit, and chain vulnerabilities like an attacker, then a human expert validates the highest-risk findings before they reach you.

How is it different from a vulnerability scanner or DAST?

A scanner flags possible issues and produces 40 to 70% false positives. FireCompass runs the exploit to prove the issue is real, keeping false positives under 2%.

How is FireCompass different from single-shot autonomous tools?

Point-and-shoot tools attack one target and stop. FireCompass discovers your surface first, pentests it, then chains findings into multi-stage attack paths across apps and network.

Is it safe to run autonomous attacks on production?

Yes. You control what agents can touch, every action is transparent, and exploitation is validated to confirm impact without disruption.

How do you keep the AI agents safe and governed?

Agents run inside scope guardrails your team sets, never exfiltrate real data, and log every plan and action to a full audit trail you can use to evidence SOC 2, PCI DSS 4.0, and DORA requirements.

How fast is a pen test and what does it cost?

About one day, against two or more weeks for traditional testing, and roughly 11x cheaper. One Fortune 500 app dropped from about $5,000 to under $1,000.

Does it replace human pentesters?

No. Agents handle scale and speed. Experts validate sensitive tests and business logic.