Access Control
We've curated 78 cybersecurity statistics about access control to help you understand how technologies like role-based access and identity management are evolving to protect sensitive data from unauthorized access in 2025.
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12% of organizations maintain direct user-to-server administrative pathways, meaning a single compromised employee device can provide immediate access to high-value systems.
24% of organizations say they have no AI-specific access controls
16% of organizations enforce AI access controls consistently across the environment
Within organizations that track AI identities, 43% authenticate and authorize AI identities using a separate system from human identities.
61% of organizations have revoked or rotated AI agent credentials due to suspected exposure.
Within organizations that track AI identities, 57% use the same system as for human identities.
67% of organizations using AI agents suspect those agents have already accessed data beyond their intended scope.
53% of enterprises have had AI agents exceed their intended permissions, leaving them vulnerable to increased risk.
8% of enterprises say AI agents never exceed their intended permissions.
69% of healthcare and manufacturing security leaders demand identity-based controls in any modern solution.
29% of enterprises prioritize risk management, 28% prioritize monitoring, and 19% prioritize permission control for AI agents.
74% of organizations say AI agents often receive more access than necessary.
57.87% of organizations have IAM users without MFA.
52% of organizations say AI agents inherit access originally intended for humans or other systems at least sometimes.
79% of organizations believe AI agents create new access pathways that are difficult to monitor.
22% of organizations report that access frameworks are applied very consistently to AI agents.
24.82% of repositories predate GitHub’s 2023 default token hardening and may retain legacy access settings.
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.
21.68% of organizations maintain overly permissive CI/CD token permissions.