A study from EMA Research quantifies the scale of agentic AI adoption — and the security gap that’s widening alongside it. Of 271 IT, security, and identity access management professionals surveyed at medium-to-large enterprises, 98% of organizations with 500 or more employees are currently deploying or actively planning to deploy agentic AI.

The deployment momentum is undeniable. The security posture accompanying it is not.

The Deployment-Governance Gap

The headline adoption number (98%) is striking on its own. The number that defines the moment is 79%: the share of organizations that have deployed or are planning to deploy AI agents without enforceable IAM policies or formal security frameworks for those agents.

Three-quarters of large enterprises are deploying autonomous AI systems without the governance infrastructure that would normally be required before putting any system — human or automated — in contact with sensitive data and core business processes.

Additional findings from the study:

  • 65% of deployed AI agents have access to proprietary enterprise data
  • 58% have access to customer data
  • These access levels exist in most cases without agent-specific IAM controls

EMA characterized the situation as “a significant industry blind spot” — organizations are aware of the technology’s capabilities and moving quickly on adoption, but the identity and access frameworks that would govern agent behavior are lagging by months or years.

Why This Study Matters Now

The EMA study’s underlying data was collected in December 2025 but is receiving substantial coverage in May 2026 — and the increased attention reflects a shift in enterprise awareness. Six months ago, AI agent deployment was largely experimental and scoped to limited teams. By mid-2026, the deployments have moved into production and the stakes have changed accordingly.

The May coverage surge coincides with the Akeyless 2026 State of AI Agent Identity Security Report (released today) finding that 67% of enterprises already suspect their AI agents have accessed unauthorized data. Together, these studies describe the same underlying dynamic: deployment outpacing governance, with incidents beginning to materialize as a result.

What Enforceable IAM for AI Agents Looks Like

The study doesn’t prescribe solutions, but the security community’s consensus is converging on a set of requirements:

For access controls:

  • Agents should receive just-in-time, scoped credentials rather than persistent API keys
  • Every agent session should be logged with the data accessed, actions taken, and decisions made
  • Permissions should be tied to specific tasks, not given to the agent identity broadly

For governance frameworks:

  • Agents should be inventoried the same way human users are — including what systems they can access and what they’re authorized to do
  • Approval workflows for agent provisioning should mirror those for privileged human access
  • Incident response playbooks should include agent-specific scenarios

For detection:

  • Behavioral baselines for agent activity should be established so anomalous access patterns trigger alerts
  • Detection latency of 14+ hours (the average found in the Akeyless study) is far too slow for autonomous systems acting continuously

The 500-Employee Threshold

One underappreciated aspect of the 98% figure: it applies to organizations with 500 or more employees. This isn’t a Silicon Valley early-adopter phenomenon. It’s mainstream enterprise adoption at a broad scale across industries.

When organizations of this size and maturity — with established IT and security functions, compliance requirements, and existing infrastructure — are adopting agentic AI faster than they’re building governance frameworks, it signals something important about the pressure organizations feel to move quickly and the relative immaturity of the supporting tooling ecosystem.

The tooling for AI agent identity, access management, and behavioral monitoring is available but not yet standardized or widely deployed. The gap between what’s available and what’s being implemented is where the risk lives.

Sources

  1. Agentic AI Is Already in Production, Identity and Access Controls Are Not — DevOps Digest
  2. EMA Research Official Report — AI Agent IAM Study
  3. Yahoo Finance — EMA Agentic AI Study Coverage

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