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Agent Identity Security

Safeguard enterprise AI agent deployment with
robust, scalable identity controls.

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Challenges

AI agents are multiplying. Identity controls aren’t keeping up.

Limited visibility, unverified identities and unchecked access make agents difficult to govern and their actions hard to trace.

Agents without accountability.

Limited visibility leaves shadow agents undiscovered and ownership unclear.

Identities you can’t trust.

Unverified identities and exploitable credentials leave agents open to impersonation.

Access without oversight.

Weak access controls and audit gaps leave agent activity unchecked and hard to trace.

Why now

Are you ready for the identity challenges of AI agents?

out of 100 organizations have adopted AI agents. ¹

66%

of CISOs rank agentic AI among their top three cybersecurity risks. ²

40%

of AI agents have access to organizational data. ¹

Solution

Secure every agent’s identity

Establish clear ownership, verify identities and enforce auditable access through Prisma^® AIRS^™.

Centralized agent registry

Discover agents and establish clear ownership and governance in one place.

Unique cryptographic identity

Verify agent identities and protect against impersonation and stolen-token reuse.

Analyze Logs Through a Conversational Interface

Eliminate Context Switching Between Data Types

Authorization controls

Control your agent actions using identity-aware controls on the gateway and applied policies.

Key capabilities

Comprehensive identity security built for enterprise scale

Uncover your unmonitored AI agent workforce

Gain full visibility into active agent deployments by automatically centralizing them into one repository.

Gain insights into behaviors & activities of agents

Each agent includes context such as owner, purpose, status, and permissions clarifying ownership, function, and access.

Govern agent lifecycles from setup to decommissioning

Streamline onboarding, log activity, analyze active permissions, and improve lifecycle governance with automated ownership.

Stay compliant with a clear audit trail

Monitor agent activity and track associated users with detailed reviews of resource privileges and active permissions.

Resources

E-BOOK

Identity’s Role in Securing AI Risks, Controls, and Challenges

WHITEPAPER

Secure the AI enterprise

SOLUTION BRIEF

Idira Secure AI Agents

Frequently asked questions

What is Agent Identity Security?

Agent Identity Security is a modern, scalable solution designed to secure agentic identities, such as AI agents, that’s purpose-built to protect AI agents with privilege controls.

Do I need to worry about AI security now? What if my organization doesn't have AI agents deployed?

Yes. It’s important to have an AI security strategy before any agents are deployed. Today’s low-code/no-code platforms mean almost anyone can develop and deploy agents, and your organization needs to implement security policies and controls early, as it's much more difficult to add them after the fact.

What makes agentic AI security so challenging?

Agentic AI agents can be a security challenge for many reasons, including:

AI agents are nondeterministic, meaning they can produce different results for the same input, which can break traditional security models.
AI agents require elevated privileges to access sensitive resources like databases, APIs, financial systems and customer data.
AI agents make decisions independently, introducing unpredictability.
Developers can create agents without security oversight (shadow AI).

Where should I start to figure out my organization's agentic identity security strategy?

For a successful AI identity security strategy, we recommend:

Adopting an identity-first approach with discovery, inventory and classification of agents.
Enforcing least privilege for agents, ensuring they only have the access for the specific action and in the specific time window needed.
Establishing governance and lifecycle management, including clear policies, regular audits and alignment with regulations.

To get started, check out our whitepaper, Key Requirements to Secure AI Agent Identities, Privilege, and Access.

What are the risks of not securing the access privileges of AI agents?

The risks of AI agents stem from ensuring these identities have the right level of privilege access — just as you need to do with humans and machines. AI risks increase:

As your agents evolve from simple AI assistants to agentic AI with increased access privileges to sensitive enterprise resources.
As you start granting more autonomy to agents with humans in a supervisory role.
As agents start delegating tasks to other agents and the risk is no longer contained to one system.

Without the right security guardrails in place, you're creating vulnerability points in your environment, which could lead to a breach.