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When AI Acts Alone,
Identity Is the Only Control

Secure the next wave of autonomous, self-reasoning agents with Idira™.

Challenges
What We Offer
Key Capabilities
Idira in Action
CHALLENGES

Agentic AI is expanding. So are your security risks.

New hybrid identity class.
New hybrid identity class

New hybrid identity class.

AI agents blend human reasoning with machine scale and speed. This hybrid identity class without guard rails amplifies organizational risk.
Exploding attack surface.
Exploding attack surface

Exploding attack surface.

Agents require broad permissions across your sensitive resources, turning a single compromised agent into a master key for your entire environment.
Privilege Drift.
Privilege Drift

Privilege Drift.

Agents operate outside traditional human controls and are known to hallucinate and escalate privileges to achieve goals.
Invisible workforce.
Invisible workforce

Invisible workforce.

The ease of creating AI agents leads to shadow AI. Without secure onboarding to a controlled registry, you're blind to risks of your agentic workforce.
Scale without scrutiny.
Scale without scrutiny.

Scale without scrutiny.

As AI agents and MCP servers proliferate across your environment, lack of controls and governance creates blind spots and burdens your security team.
Accountability gap.
Accountability gap

Accountability gap.

Without a clear view of agent activities, you can't prove who or what authorized an action, putting your organization at compliance risk.
WHAT WE OFFER

An identity-first approach to agentic AI security
built on tight privilege controls​.

Discover, control and govern AI agents with the right level of privilege control.

Discover and centrally manage agents

Expose your hidden AI attack surface and reclaim visibility. Idira Secure AI Agents scans SaaS, cloud and developer environments to identify active agents, enriching them with vital context, from ownership and purpose to status and permission levels.

Control agent access and enforce least privilege

Enforce precision guardrails through a dedicated agent identity broker. Idira acts as a dynamic enforcement point, granting agents access only for the duration of a specific task. By automatically revoking permissions the moment a job is done, you eliminate standing privileges and reduce attack surface.

Govern and audit agent actions to support compliance

Get visibility and auditability into the actions agents are taking. Idira Secure AI Agents logs agents' actions and communications, allowing you to see what actions were performed by what agent and on behalf of which user.

Executive Guide
Native integration with Prisma AIRS 3.0 (coming soon)

Access Agent Identity Security through Prisma AIRS interface and enforce identity security controls via the AI Gateway

Learn more
KEY CAPABILITIES & FEATURES

The identity control plane for your agentic workforce

Transform AI risk into business agility with a unified platform designed to discover, control and govern agentic identities at scale.

Discover the invisible agent workforce.

Idira Secure AI Agents discovers agents across SaaS, cloud and developer environments and onboards into a centralized repository — giving you visibility into what's running and where.

WHY NOW

Are you ready for the identity challenges of AI agents?

99

out of 100 organizations have adopted AI agents.1

<10%

of organizations have critical controls like agent registries and authorization.2

66%

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

40%

of AI agents have access to organizational data.1

Idira in Action

Request an agent identity workshop

Join a virtual workshop with our Agentic Identity Experts to get a free assessment of your agent identity maturity, learn about identity security best practices for agents and get a demo of the solution.

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Resources

Get the latest agentic identity security insights

AI Agents: Third-Party Risks & Insider Threats
mobile AI Agents: Third-Party Risks & Insider Threats
E-Book
AI Agents: Third-Party Risks & Insider Threats
Securing Agentic AI: Identity as the Emerging Foundation for Defense
mobile Securing Agentic AI: Identity as the Emerging Foundation for Defense
Whitepaper
Securing Agentic AI: Identity as the Emerging Foundation for Defense
Secure AI Agents
mobile Secure AI Agents
Solution Brief
Secure AI Agents
When AI Acts Alone, You Need Identity to Maintain Control
mobile When AI Acts Alone, You Need Identity to Maintain Control
Infographic
When AI Acts Alone, You Need Identity to Maintain Control
Secure Your Agentic AI Coworker
mobile Secure Your Agentic AI Coworker
Webinar
Secure Your Agentic AI Coworker
Securing Agentic AI: Why Identity Is the First Step
mobile Securing Agentic AI: Why Identity Is the First Step
Webinar
Securing Agentic AI: Why Identity Is the First Step
Securing AI Agents: Privileged Machine Identities at Unprecedented Scale
mobile Securing AI Agents: Privileged Machine Identities at Unprecedented Scale
Blog
Securing AI Agents: Privileged Machine Identities at Unprecedented Scale
Agentic AI Security: What Business Leaders Can’t Afford to Ignore
mobile Agentic AI Security: What Business Leaders Can’t Afford to Ignore
Blog
Agentic AI Security: What Business Leaders Can’t Afford to Ignore
What's Shaping the AI Agent Security Market in 2026
mobile What's Shaping the AI Agent Security Market in 2026
Blog
What's Shaping the AI Agent Security Market in 2026

Frequently asked questions about
Idira agentic identity security

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.
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 oversite (shadow AI).
  • And more.
For a successful AI 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 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.

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 breach.
Idira Secure AI Agents can help you:
  • Deliver cyber risk reduction with a clear view of the AI agents in your environment and the ability to enforce least-privileged access.
  • Enable business resilience by unlocking the productivity benefits of AI without the business risk.
  • Satisfy audit and compliance with lifecycle management and audit tools.
  • Increase efficiency and automation by freeing up security teams from the manual work of managing AI identities.
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