Industry Report
Enterprise AI Access Is Outpacing Control
Why accountable AI relies on identity, permissions, and evidence.
AI no longer just assists your team. It acts inside the systems that run your business—changing records, adjusting permissions, and executing workflows without a human always in the loop. That access is expanding faster than the identity and permission controls designed to govern it.
When AI can act inside IAM systems, financial platforms, and shared drives, you need to know which identity was behind every action, what permissions it used, and whether that access was appropriate. Confidence in your ability to audit AI activity means little if you can’t produce the evidence to back it up.
This report is built for IT leaders managing AI risk across hybrid environments, including organizations running Google Workspace and Microsoft 365. It gives you a clear benchmark for where your controls stand today and what it takes to close the gap between what AI can access and what you can prove it did.
What's Inside:
- Why 72% of organizations report a moderate-to-large gap between what AI is permitted to access and what they can prove it accessed
- Where identity risks are emerging, as 59% of organizations haven't fully integrated AI agents into the same IAM policies used for human users
- A comparison of which environments show stronger AI auditability foundations across Google Workspace vs. Microsoft 365, and why
- JumpCloud's AI Auditability Maturity Model, which scores IT leaders on their evidence, permissions, governance, and AI readiness