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    AI agents now have impressive reasoning capabilities. This raises an important question: how dangerous are these AI agents at identifying & exploiting web vulnerabilities? We created CVE-bench to find out (I'm one contributor of 16). To our knowledge CVE-bench is the first benchmark using real-world web vulnerabilities to evaluate AI agents' cyberattack capabilities. We included 40 CVEs from NIST's database, focusing on critical-severity vulnerability (CVSS > 9.0). To properly evaluate agents’ attacks, we built isolated environments with containerization and identified 8 common attack…

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    Track your products. We’ll watch the vulnerabilities.

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    Only the alerts that matter

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    Find your web app's vulnerabilities before attackers do

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  17. 17GP
  18. 18AC

    Hey HN! Sam, Alex and Ben from Invaria (formerly Patchwork Technologies): http://invaria.io. Observability is built on telemetry (metrics, logs and traces). Telemetry data quality is often poor because instrumenting code is still a time consuming task which requires a lot of hand-finishing. We believe that structured event data is the right end goal, and we’re starting by making it easier to get there using structured logging. For our Launch HN (Aug), we set up a demo instance with pre-baked results. We wanted to go further to allow HN readers to give the product a proper test…

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    CVE triage on autopilot. Compliance included

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