Every model produced at least one false-positive run by hallucinating vulnerable paths in the OpenNDS real-world task
Every model produced at least one false-positive run by hallucinating vulnerable paths in the OpenNDS real-world task — This cybersecurity statistic was published by Forescout in May 2026. It covers topics including False Positives, Vulnerability Research, OpenNDS. The original data appears in AI Security Testing: Agents Leap from Assistants to Autonomous Hackers . For the full methodology and detailed findings, refer to the original report.
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What does this statistic say?
Every model produced at least one false-positive run by hallucinating vulnerable paths in the OpenNDS real-world task This data was published by Forescout and covers False Positives, Vulnerability Research, OpenNDS.
Where does this data come from?
This statistic comes from AI Security Testing: Agents Leap from Assistants to Autonomous Hackers , published by Forescout on May 27, 2026. You can view the original report at https://www.forescout.com/blog/ai-security-testing-agents-leap-from-assistants-to-autonomous-hackers/.
What cybersecurity topics does this cover?
This statistic relates to False Positives, Vulnerability Research, OpenNDS. Browse more statistics on False Positives or from Forescout.