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From Human to Hybrid: How AI and the Analytics Gap Are Fueling Insider Risk

Recent Statistics & Reports

In the Middle East, unauthorised GenAI is the top insider concern (31%).

Insider threat Middle East GenAI

More than three-quarters of organisations (76%) report some level of unapproved Generative AI (GenAI) usage.

Insider threat GenAI

The majority (54%) of organisations expect insider threat growth to continue.

Unapproved GenAI usage rates are highest in technology (40%), financial services (32%), and government (38%).

Insider threat GenAI Technology

AI-enhanced phishing and social engineering are the most concerning tactics (27%) for insider threats.

Insider threat AI Phishing

53% of cybersecurity professionals expect insider threats to increase.

Government organisations are bracing for the steepest rise (73%) in insider threats.

Insider threat Government

Over the past year, more than half of organisations (53%) have seen a measurable increase in insider incidents.

64% of cybersecurity professionals view insiders (whether malicious or compromised) as a greater risk than external actors.

Insider threat External threat

88% of organisations state they have insider threat programmes.

Just 44% of organisations use user and entity behaviour analytics (UEBA) for insider threat detection.

Insider threat UEBA

97% of organisations use some form of AI in their insider threat tooling.

Insider threat AI

Two of the top three current insider threat vectors are now AI-related.

Insider threat AI

74% of cybersecurity professionals report that AI is making insider threats more effective.

Insider threat AI

Asia-Pacific and Japan lead in projected insider threat growth (69%).

Insider threat Asia-Pacific Japan

In the Middle East, nearly one-third (30%) of organisations anticipate a decrease in insider threats.

Insider threat Middle East

Manufacturing expects a 60% rise in insider threats.

Insider threat Manufacturing

Healthcare expects a 53% rise in insider threats.

Insider threat Healthcare

More than half of executives believe AI tools are fully deployed, contrasting with managers and analysts who report many are still in pilot or evaluation stages

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