Regulated enterprises evaluating AI pentesting platforms should assess eight capabilities: FedRAMP Moderate authorization or higher, multi-framework compliance support, human-in-the-loop with agentic AI, verified zero-false-positive findings, bidirectional workflow integrations, self-service launch, auditable coverage visibility, and full offensive security platform capabilities. Vendors who can't clearly distinguish their AI from an automated scanner are likely selling exactly that.

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Most security teams underestimate what it costs to build an AI pentesting solution in house. People, AI token costs, infrastructure, and compliance gaps add up faster than the initial business case accounts for, and the hidden bill usually arrives in year two. I’ve been hearing the same question from security leaders lately. They’re all asking […]

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Most enterprises test less than a third of their attack surface, and attackers have already moved to AI-speed offense. Agentic AI closes the coverage gap, but only when paired with human expertise: an AI-first, human-validated model that secures critical infrastructure without sacrificing operational safety.

The post Why the Future of Pentesting Needs Humans and Agentic AI Working Together appeared first on Synack.

“Continuous” has become the most stretched word in offensive security. This guide breaks down what continuous penetration testing means, why most of the market doesn’t deliver it, and how Synack’s Sara is bringing always-on, human-validated testing to the enterprise.

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