AI means cyber teams are rethinking their approach to insider threats
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AI means cyber teams are rethinking their approach to insider threats
"Nearly two-thirds of European cybersecurity professionals see insider threats as their biggest security risk - and AI is making things worse. A from Exabeam shows 64% now view insiders, whether malicious or compromised, as a bigger risk than external threat actors. Notably, a key factor behind this shift in focus is the use of generative AI among cyber criminals, the study found, which is making attacks faster, stealthier, and more difficult to detect. "Insiders aren't just people anymore," said Steve Wilson, chief AI and product officer at Exabeam. "They're AI agents logging in with valid credentials, spoofing trusted voices, and making moves at machine speed.""
"Unauthorized use of generative AI isn't helping, according to Exabeam, with 67% of organizations reporting some level of unapproved usage. Those in technology recorded the highest rates of unauthorized use, at 40%, followed by government at 38% and financial services at 32%. This leads to all sorts of security risks, with a recent report from Palo Alto Networks that data loss prevention incidents related to generative AI more than doubled in early 2025 - with 10% of these classified as high risk."
Sixty-four percent of European cybersecurity professionals now view insiders—malicious or compromised—as a greater risk than external actors, driven by generative AI that accelerates and conceals attacks. Over half of organizations reported measurable increases in insider incidents last year, and many expect continued growth. Government, manufacturing, and healthcare show the highest concern. Unapproved generative AI use affects 67% of organizations, with technology, government, and financial services reporting notable rates. Data loss prevention incidents tied to generative AI have surged, while many organizations still rely on IAM, training, DLP, and EDR rather than behavioral analytics.
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