Security Research
Jev and the Future of AI Pentesting: Why the Harness Matters More Than Ever
Security teams now use agents for a wide range of work, from finding vulnerabilities in code to investigating and triaging issues. Many of these tasks need complex reasoning and an understanding of how an application works, so the shift makes sense. We're also seeing more security use cases where an LLM may be more than the job needs. Triage is a good example. We ask an LLM whether a finding is a false positive, give it the context it needs, extract its decision as JSON, and use that to trigger


