Endor Labs and Bright Security Partner to Close the Gap Between Discovery and Remediation

Endor Labs and Bright Security have announced a technology partnership combining Endor Labs’ static reachability analysis with Bright Security’s AI-driven dynamic application and API testing to help organizations prioritize vulnerabilities that are both reachable from untrusted input and demonstrably exploitable at runtime. Endor Labs uses a code context graph to assess first-party code, open-source dependencies, and containers, while Bright STAR simulates attacker behavior to validate exploitability and produce proof-of-concept evidence. The integration is intended to reduce false positives, consolidate results into a single prioritized view, and provide machine-readable evidence that developers and AI remediation agents can use to scope fixes more accurately. The companies argue that this approach can lower developer workload as well as AI token and compute costs by avoiding repeated investigation of theoretical or unverified findings, and they describe support for traditional application risks alongside security testing for AI-powered applications, including prompt injection and insecure output handling.

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