SOURCE-LINKED INTELLIGENCE
MobileCybench: Evaluating Agent Vulnerability Discovery via Executable Probes
AI agents now report vulnerabilities faster than maintainers can review them. Reports often depend on security properties specific to the application, and require considerable human labor to process. To mitigate this, we introduce a framework for evaluating vulnerability reports via probes, executable checks of security properties. A reported exploit is evaluated by replaying it against the application and running the probes: a triggered probe indicates both that the exploit succeeded and which security property it violated. As a probe encodes a security property rather than a known vulnerabil
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T01:21:06.000Z
First collected: 2026-09-23T09:51:33.063Z. This is not the publication date.