Ping Identity Launches Identity for AI- image 1

Ping Identity Launches Identity for AI

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Ping Identity, one of the leading providers of digital identity protection solutions for large companies, announced the full availability of the Identity for AI solution. This is a new model developed with consideration for how AI agents operate in corporate environments.

As autonomous agents begin to be used in real business processes, the main issue is no longer just managing identities. It is much more important to control what exactly these agents are doing while working.

In a so-called agent-oriented enterprise, it is no longer sufficient to simply store access data. A system that controls actions in real-time and ensures rule enforcement plays a decisive role.

Ping Identity Launches Identity for AI - image 1
AI AGENT SECURITY

Identity for AI solution

Identity for AI is now publicly available and includes three key components: Agent IAM Core, Agent Gateway, and Agent Detection. Together, they enable the creation of agent identities, the enforcement, and application of delegated privileges at runtime, and the detection of agent activity.

Traditional identity systems were designed for login and access control. But with the rise of autonomous agents, that is no longer enough. Every action an agent takes can impact the business, so it is important not only to know who has access but also to control what they are actually doing.

Identity management remains significant, but the primary focus now is action control. Companies need to see when agents are active and limit their capabilities in real time.

This means moving toward clear delegation of authority rather than “impersonating a user.” Humans remain responsible and, when necessary, approve actions. This applies both to scenarios where an agent acts on behalf of a user and to fully autonomous operations.

Instead of sharing logins and passwords with AI systems, companies define exactly what agents are allowed to do and enforce this through continuous, contextual authorization.

BENEFITS

What Identity for AI already provides today

Identity for AI is not limited to access checks at login; it directly controls agent actions during operation—in real time and with contextual awareness—even in large enterprises.

Companies define the permissions that agents receive. This ensures that agents perform only authorized actions, at the right time and under appropriate conditions, with clear accountability to the users they represent.

With Identity for AI, organizations can:

  • Treat AI agents as full-fledged entities with defined ownership rights, credentials, and policies;
  • Use delegated tokens with limited privileges instead of “impersonating users” or sharing logins;
  • Enforce the principle of least privilege at the moment of action, evaluating each agent request in real time;
  • Protect integrations based on the Model Context Protocol (MCP) through the Agent Gateway without modifying existing services;
  • Detect external AI agents based on their behavior and using specialized bot authentication protocols.

Agent IAM Core enables enterprises to connect, manage, authenticate, and authorize AI agents in real time as a new type of identity, mapping agent access to delegated permissions and policies.

Agent Gateway provides a runtime enforcement layer that standardizes agent interactions with services, performs fine-grained authorization, and centralizes monitoring and auditing of agent activity.

Agent Detection, available through PingOne Protect, provides agent detection and risk assessment at runtime. It identifies both internal and external AI agents using bot authentication protocols and behavioral signals and passes this data into authorization processes, directing it to appropriate authentication and authorization scenarios.

Identity for AI also standardizes policy enforcement in new AI integration frameworks, including the Model Context Protocol (MCP), ensuring secure agent-to-system interactions at scale.

Together, these capabilities create a runtime control layer that governs AI behavior across systems, going beyond traditional identity lifecycle management and classic access control.

Secure AI

A new level of control over AI agents

Transferring access management directly into the work process of the system gives companies constant control over the actions of artificial intelligence. As a result, AI agents can operate in real environments, but their capabilities are clearly limited.

For non-human users, such as bots or AI, only the minimally necessary access is granted. All rules are managed centrally, and the actions of the system can be tracked and verified, ensuring transparency and accountability.

The Identity for AI approach combines access management and control for both humans and AI in a single system. In the future, these capabilities will expand, allowing for more efficient management of many AI agents, better tracking of their work, and control over their lifecycle.

Test Identity for AI and sign up for a solution demonstration.

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