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This release marks a significant step toward practical agentic AI in cybersecurity by addressing critical reliability issues like hallucinations and context loss through built-in pentest skills. The tool's human-in-the-loop architecture ensures that autonomous actions remain under analyst oversight, directly tackling the trust gap inherent in deploying generative models for offensive security operations. Its ability to integrate with various local LLMs while maintaining evidence-backed reporting makes it a relevant development for professionals seeking robust automation without sacrificing verification.

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PentesterFlow – AI Tool for Penetration Testers and Bug Hunters to Automate Workflows

Cybersecurity NewsJuly 26, 20263 min read

PentesterFlow is a new open-source, human-in-the-loop agentic AI command-line tool built specifically for penetration testers and bug bounty hunters, designed to automate recon-to-reporting workflows without sacrificing analyst oversight. Most agentic AI security tools suffer from hallucinated findings, weak context retention, and poor tool integration, but PentesterFlow tackles these problems head-on with built-in pentest skills, evidence-based […] The post PentesterFlow – AI Tool for Penetration Testers and Bug Hunters to Automate Workflows appeared first on Cyber Security News.

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