Identity Management
We've curated 60 cybersecurity statistics about Identity Management to help you understand how secure user authentication, access controls, and identity verification practices are evolving in 2025, ensuring that only the right people access sensitive information.
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The average U.S. employee now logs into more than fifteen business applications daily.
Within organizations that track AI identities, 43% authenticate and authorize AI identities using a separate system from human identities.
Within organizations that track AI identities, 57% use the same system as for human identities.
Restoration of identity systems is tested four times less often than restoration of productivity systems.
32% of organizations are uncertain how much time is required to implement and maintain authentication or credential handling for a typical AI agent.
57% of organizations report moderate or high confidence in identity scoping for AI agents.
Only 28% of organizations report full visibility into non-human identities across cloud, on-premises and SaaS environments.
26% of organizations report using automated detection and response to monitor non-human identity activity.
49% of organizations disable identities or revoke tokens as containment actions, 42% terminate the compute environment where an agent runs, and 33% remove or modify access policies in real time.
52% of organizations use workload identities for AI agents, 43% rely on shared service accounts, and 31% allow agents to operate under human user identities.
46% of cybersecurity professionals report that AI-powered tools have access to critical systems and data.
52% of organizations say AI agents inherit access originally intended for humans or other systems at least sometimes.
22% of organizations report that access frameworks are applied very consistently to AI agents.
33% of organizations do not know how often AI agent credentials are rotated.
50% of organizations rank secrets management among their top application security challenges.
Credential theft is the leading attack technique against cloud management infrastructure, cited by 67% of organizations experiencing cloud attacks.
Machine identities outnumber human users by ratios as high as 20:1
53% of organizations still depend on traditional security programs built primarily for human users and perimeter-based controls.
Identity management and behavioral intelligence delivered the largest breach cost savings, reducing insider risk costs by $6.1 million and $5.1 million per year, respectively.
67% of organizations rely on static credentials for AI systems.