XRanges for AI is a tool designed to score autonomous security agents, developed after testing by 545 hackers. The tool addresses the challenge of measuring how effectively autonomous security agents find bugs, as current evaluation methods rely on agents' self-generated reports that cannot be independently verified. The verification process currently requires someone with a security background to manually check every claim made by the agent against the actual target to determine which findings are legitimate.

CTF.ae has launched XRanges for AI, a platform designed to verify the effectiveness of autonomous security agents through real-world targets and deep telemetry.

Autonomous security agents are getting good at finding bugs. Nobody has a good way to measure how good. Point one at a realistic target and what comes back is a report the agent wrote about itself: confident prose, a list of findings, and no way to tell which of them happened. Someone with a security background then sits down and checks every claim against the target. Which findings are real,

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Autonomous security agents are getting good at finding bugs. Nobody has a good way to measure how good. Point one at a realistic target and what comes back is a report the agent wrote about itself: confident prose, a list of findings, and no way to tell which of them happened. Someone with a security background then sits down and checks every claim against the target. Which findings are real,