89% of IT Leaders Struggle With Identity Management as AI Adoption Spreads
A global survey of 3,200 cybersecurity decision-makers finds that managing user identities has become a critical vulnerability for most enterprises. Nearly nine in ten senior IT leaders report that their growing identity footprint-spanning employees, contractors, third parties, and machine accounts-creates serious operational challenges.
The research, conducted by Keeper Security across the United States, Europe, Asia-Pacific, and the Middle East, reveals that fragmented security tools are making the problem worse. Ninety-six percent of respondents said disconnected or poorly integrated systems create exploitable gaps that attackers can exploit.
Detection Lags Behind Threats
Organizations are struggling to catch unauthorized access in real time. In 72% of companies, credential misuse goes undetected for hours, days, or even weeks after it occurs.
U.S. respondents face particular pressure. Seventy-three percent report that disconnected tools create security gaps, and more than a third experience attempted cyberattacks daily or more frequently.
AI Adoption Creates New Identity Problems
As companies deploy artificial intelligence, they're creating new machine identities that most security systems weren't designed to manage. Forty-three percent of respondents globally identified AI-related machine identity management as a top governance gap-rising to 51% among U.S. respondents.
Employee use of AI tools presents a separate risk. Fifty-six percent of respondents worry that employees might inadvertently expose sensitive information to AI systems. That concern climbs to 67% among U.S. respondents.
Forty-two percent of organizations lack visibility into which AI tools their employees are actually using, creating what the report calls "shadow AI" blind spots.
What Managers Need to Know
The core issue is straightforward: most organizations lack a single control plane for identity governance. When security tools don't communicate with each other, attackers find gaps between them.
For management teams, this means identity security now requires the same strategic attention as network security or data protection. The proliferation of machine identities-often outnumbering human users-demands active governance and real-time detection capabilities.
Organizations addressing this challenge typically consolidate identity management across their stack, implement least-privilege access controls, and gain visibility into both sanctioned and unsanctioned AI tool usage.
For IT and security leaders seeking to understand how AI affects identity governance, AI learning paths for cybersecurity analysts cover threat detection and security operations in environments where machine identities are proliferating.
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