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You are at:Home»Cyber resilience»AI and autonomous systems are the new insider threat vector that CISOs are concerned about (Page 27)
Cyber resilience

AI and autonomous systems are the new insider threat vector that CISOs are concerned about

October 14, 20262 Mins Read
Insider threats concept.

Trellix has published a new report, ‘Mind of the CISO: The New Insider’, which claims that AI and autonomous systems are the latest insider threat vector. In total, 74% of CISOs agree that the use of AI tools introduces risks that traditional security controls are not designed to address. The result is a growing gap between the operational speed of AI within enterprise environments and how quickly organizations can detect and respond to the risks it introduces. This demands a fundamental shift toward autonomous, agentic SOC capabilities to close the gap, says Trellix.

Other results from a survey of 600 CISOs and senior security leaders for the report reveal the scale of AI-driven insider risk:

  • 95% experienced an insider incident linked to the actions of an AI or autonomous system in the past 12 months, with AI actions accounting for 28% of all insider-related incidents, on average.
  • Insider risk incidents cost organizations $2.4 million on average.
  • Impacts of insider risk incidents include data loss (56%), operational disruption or downtime (49%), compliance or legal violations (48%), and reputational damage or loss of customer trust (46%).
  • 78% of organizations now include AI agents, autonomous systems, and machine identities in their definition of insider risk, and 42% report this as the most important security risk to address over the next 12 to 24 months. Yet half (52%) lack a fully implemented insider risk strategy. The majority (94%) are concerned about the risk of actions taken by AI within their security environments and often operate with limited visibility.
  • 63% of surveyed CISOs say that their organization lacks sufficient visibility into how employees use AI tools, and 99% agree they need to improve visibility across users, devices, and environments.
  • On average, organizations take 15 hours to detect and respond to insider-related incidents – a window that attackers can exploit.
  • 83% of CISOs agree that AI is accelerating attackers’ abilities to discover and exploit vulnerabilities, and 78% agree that traditional security controls are becoming less effective against these attacks.
  • 79% expect to be targeted by an AI-assisted attack exploiting trusted identities or systems within the next 12 months.
  • Nearly all (99%) CISOs surveyed agree that AI and automation will be essential to managing insider risk over the next 12 to 24 months, and 41% plan to prioritise investment in AI-related detection and response.
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