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Study Reveals How Inaccurate Data Undermines a Generation of AI Cybersecurity Tools

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"Dirty Data” Undermines a Generation of AI Cybersecurity Tools, Study Finds

A recent “Trust Gap” report by Axonius reveals a critical disparity in cybersecurity readiness. While 90% of security leaders believe they are prepared for attacks, only 25% fully trust their security data, leading to slower remediation and hindering AI adoption. This survey of 500 U.S. cybersecurity and IT leaders highlights key issues such as inconsistent, incomplete, and inaccurate data that contribute to a lack of confidence in security systems. Despite organizations investing in automation and AI, challenges like poor data integrity and integration problems remain significant roadblocks. The report indicates that 81% of organizations take over 24 hours to remediate critical vulnerabilities, exposing them to potential attacks. Axonius emphasizes the need for reliable data to enhance vulnerability management and support proactive security measures. For in-depth insights, download “The Trust Factor” report at Axonius. Visit Axonius at Black Hat USA 2025 for live demos and more information.

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