Picus puts AI agents on the offensive with autonomous pentesting
Picus Security launches autonomous pentesting with AI agents.
Picus Security has introduced Picus Autonomous Penetration Testing, an AI-driven capability that uses agents to simulate attacker behavior and chain exploits against an organization's critical assets. This new offering rebuilds their automated pentesting solution for the agentic era, leveraging five years of enterprise deployments and thousands of automated pentests. The system operates under predefined governance rules that agents cannot override, ensuring it stays within approved scope and techniques, with hard-deny rules to prevent destructive actions.
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The lesson from this incident
Full lessonPicus Security's launch of autonomous AI-powered penetration testing reflects a broader industry recognition that traditional, infrequent manual pentests leave dangerous windows of exposure between assessments. Organizations often discover vulnerabilities only after attackers have already exploited them, because human-led pentests are costly, slow, and rarely continuous. AI agents that simulate real attacker behavior and chain exploits can dramatically compress the time between vulnerability introduction and detection. However, deploying such tools without strict governance boundaries — scope controls, hard-deny rules, and audit trails — introduces operational and legal risks of its own. This development underscores the need for organizations to mature their vulnerability management programs toward continuous, automated validation rather than point-in-time assessments.
What helps against this
How we list vendors- Penetration testing and bug bounty
Someone friendly finds the holes before someone hostile does.
- Breach and attack simulation
You only find out whether your security tools stop an attack when a real attacker tries.