TL;DR: Deploying an autonomous AI workforce requires shifting from human-centric identity models to centralized governance of non-human identities (NHI). This guide outlines the risks of unmanaged shadow AI and provides a roadmap based on Zero Trust principles to mature your enterprise agentic security posture.
The artificial intelligence (AI)-driven enterprise is no longer a future state outlined on a roadmap slide; it’s today's operational reality.
Currently, 91% of organizations are actively using AI agents across their environments. This autonomous workforce retrieves information, executes complex workflows, and interacts with enterprise applications and systems at machine speed.
Yet, as organizations rush to scale agent rollout to capitalize on hyper-productivity or revenue acceleration, they face a critical inflection point. Traditional identity and access management (IAM) models, designed for human users and static access decisions, are fundamentally insufficient. To safely leverage the power of agentic AI, the C-suite must align on a foundational truth: agentic AI readiness is identity readiness.
The cost of the agentic AI governance gap
In the rush to scale autonomous agent rollouts for productivity gains, visibility and security can get left behind. This misalignment has created a dangerous corporate governance gap. While 74% of organizations report widespread or moderate use of non-human identities (NHIs), such as AI agents and service accounts, a staggering 90% still lack a comprehensive strategy to govern them.
Operating without a dedicated AI governance infrastructure exposes organizations to severe security risks and financial liability. According to IBM’s 2025 Cost of a Data Breach Report, the average data breach incident costs $4.44 million. Crucially, when those incidents involve unmanaged, unauthorized “shadow AI,” data breach liabilities increase by an average of $670,000.
Three critical security risks of ungoverned AI agents
The security and financial risks only escalate as the number of AI agents grows without centralized oversight, introducing critical vulnerabilities into the enterprise ecosystem:
- Hardcoded keys and secret sprawl: Embedded static secrets and API keys in agent code create massive attack surfaces, paving the way for prompt injection and credential-based attacks.
- Lateral movement and privilege creep: Agents with overprivileged access pose an outsized risk to your organization, as they operate much faster and access more data than any human. When privileges aren’t standardized or updated as an agent's role evolves, they silently accumulate overly permissive access, allowing adversaries to move laterally in ways a stolen employee credential rarely enables. The baseline access is left far too wide, and the resulting blast radius is exponentially larger and much harder to contain.
- Compliance gaps: Without centralized logs tracking what an agent did and when, security teams operate in the dark during incident investigations, severely hampering compliance readiness in the face of emerging global AI regulations.
To safely govern this automated workforce, organizations must treat identity as the primary control plane. True agentic AI identity maturity is a progressive journey. To achieve it, organizations must systematically define the agent’s identity, authorize its specific permissions, manage its runtime execution, and govern its entire lifecycle.
The agentic AI identity maturity model
Built upon proven Zero Trust principles, Okta’s Guide to Agentic AI Identity Maturity offers a progressive roadmap to advance your security posture, maintain compliance, and enable safe AI-driven innovation.
Stage 1 - Foundational: Establishing visibility and control
The first step is bringing unknown agents out of the shadows. Organizations must establish a single source of truth—a centralized registry for all agents that ties each agent to a designated human owner. This accelerates incident investigations, supports audit readiness, and creates a foundation for every governance control that follows.
Stage 2 - Scaling: Standardizing protection and basic automation
Once organizations establish centralized visibility, they must prioritize eliminating hardcoded secrets and static tokens across the agent fleet. This involves automating provisioning and deprovisioning through your identity directory, enforcing modern authentication protocols, and issuing short-lived, per-call tokens instead of long-lived keys. The result is a consistent security posture, regardless of where each agent was built.
Stage 3 - Advanced: Automating continuous governance
When AI agents outnumber human employees, legacy governance processes can no longer keep up. This stage focuses on tying agent operations to a verified human owner to enable consistent, automated least-privilege enforcement throughout the agent lifecycle. When a human owner leaves, organizations decommission their agents alongside them to eliminate manual cleanup and prevent orphaned credentials.
Stage 4 - Strategic: Enforcing dynamic, risk-aware controls
At the highest maturity level, organizations fully govern and automate agent identities. Access controls evaluate real-time context, including the resource the agent is accessing, the tool it is invoking, and the request’s sensitivity level. When risk changes, the system quickly revokes all sessions and tokens for a compromised agent, detecting and containing anomalous behavior in minutes.
When organizations fully realize agentic AI identity maturity, leadership can confidently empower teams to fully leverage the AI workforce as a secure, trusted business multiplier.
Download A Guide to Agentic AI Identity Maturity to learn how to progress your organization’s agentic AI identity maturity across the four maturity phases.
For each of the four maturity phases, the guide outlines:
- Identity challenges
- Actions to take and their business benefits
- Supporting Okta features
Secure your AI-driven future with Okta
Securing your agentic workforce doesn’t mean slowing down innovation. With Okta’s unified identity platform, you can bring non-human identities out of the shadows with a single, robust control plane for security, visibility, and compliance.
Our identity-first solutions empower your teams to safely deploy AI agents while reducing the risks of hardcoded keys and privilege creep. Discover how to secure your AI agents with Okta.
