Token Security Extends Identity Governance to Autonomous AI with AI Agent Identity Lifecycle Management

Artificial intelligence (AI) has officially entered its next era, one defined not just by models and copilots, but by autonomous AI agents capable of taking action, initiating workflows, and interacting directly with critical business systems. These agents are rapidly becoming a new class of digital workforce, driving everything from coding automation to HR operations to customer service and much more.

But with this shift comes a new and urgent responsibility, ensuring these AI-driven identities are governed with the same discipline, oversight, and security rigor applied to human and workload identities.

Today, we’re proud to announce Token Security’s AI Agent Identity Lifecycle Management capabilities, the industry’s first end-to-end approach for discovering, governing, securing, and deprovisioning AI agents across the enterprise. These capabilities extend Token Security’s leadership in Agentic Identity security and equip security, IT, and IAM teams to eliminate blind spots, enforce least privilege, and ensure every AI agent operates safely, no matter where or how it was created.

The New Identity Frontier: Autonomous AI Agents at Enterprise Scale

Organizations are adopting AI agents at staggering speed. Consider Moderna, which scaled from 750 to over 3,000 internal GPT-powered agents in a single year. This rapid growth reflects a larger trend. Employees, teams, and business units are creating their own custom GPTs, MCP-based tools, and autonomous services to accelerate work and gain competitive advantages.

Yet as AI agents proliferate, they introduce a dangerous new challenge: ungoverned identities with direct access to sensitive data, systems, and workflows.

These agents don’t follow ticketing processes. They don’t onboard through HR. They don’t expire when employees change roles. They operate silently in the background until something goes wrong.

Without centralized control, enterprises face:

• Unknown agents accessing production or customer data
• Orphaned agents left active after project completion
• Excess permissions accumulated over time
• No consolidated audit trail for investigations or compliance
• Shadow AI built outside approved workflows
  
  

This is the AI identity gap Token Security is helping to solve.

How Token Security Brings Order and Security to AI Agent Chaos

Token Security’s new AI Agent Identity Lifecycle Management capabilities provide the first unified framework for securing AI-driven identities from discovery to deprovisioning without slowing innovation or interfering with how teams create agents.

1. Continuous AI Agent Discovery

Token Security now automatically discovers every AI agent across hybrid and multi-cloud environments, including custom GPTs, autonomous services, MCP servers, and coding agents.
This means:

• No unknown AI agents
• No untracked access paths
• No shadow AI hiding in personal or departmental workflows

2. Ownership and Lifecycle Governance

Every AI agent must have a responsible human owner. Token Security enforces this by assigning ownership, ensuring authentication hygiene, and identifying agents that are dormant, orphaned, or no longer aligned with business objectives.

By retiring unused agents before they become risks, organizations prevent “ghost agents” from lingering with active privileges long after their creators have moved on.

3. Least-Privilege Access for AI Agents

AI agents are powerful. Many are over-provisioned. Token Security continuously right-sizes permissions according to:

• The agent’s purpose
• Required data inputs
• Expected actions and outputs

With automated access enforcement, excess privileges are flagged or remediated in real time, shrinking the attack surface and upholding the principle of least privilege.

4. Complete and Centralized Audit Traceability

Token Security logs every action taken by AI agents across systems and agent-to-agent architectures, providing:

• Evidence for audits
• Granular insights for forensics
• Behavioral context for anomaly detection

No AI process should ever operate without an accountable, reviewable trail, and now it doesn’t have to.

Real-World Impact: How HiBob Gained Visibility and Control

HiBob, a global HR technology leader, adopted Token Security’s new capabilities to gain control over a fast-growing population of employee-created GPT agents.

“Token Security’s new capabilities give us visibility we simply didn’t have before,” said Tamir Ronen, Global CISO at HiBob. “We can now automatically identify and control custom GPT agents running in our environment and ensure the required security level. Knowing that no AI agent is operating beyond our oversight means we can confidently accelerate our AI adoption, which is a game-changer for both our security and growth.”

Built for the Entire AI Ecosystem

Token Security integrates with all major AI and LLM platforms, including OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Glean, and Microsoft 365 Copilot. No matter where agents are created, Token Security provides one place to track them, govern them, and secure them.

Leading the Future of Identity-First AI Security

As Co-Founder and CEO Itamar Apelblat notes, “AI agents require more complex identity lifecycle management than human users. With these enhancements, Token Security is the first to extend enterprise identity governance to autonomous AI.”

With these new AI Agent Identity Lifecycle Management capabilities, Token Security enables organizations to embrace AI innovation without sacrificing security, compliance, or control.

To learn more, request a Token Security platform demo today.

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