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Ping Identity Advances AI-Agent Governance

28 May 2026

Ping Identity Advances AI-Agent Governance
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Summary is AI-generated, newsdesk-reviewed
  • Ping Identity enhances platform for secure AI-agent governance and identity management.
  • New capabilities ensure AI agents are governed, discoverable, and securely access enterprise resources.
  • Programmable identity interfaces make identity management easier through machine-driven workflows.
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Ping Identity has introduced new features to its platform aimed at enhancing governance in AI-agent enterprise environments. These innovations cater to the growing involvement of AI agents, builders, and automation in configuring, governing, and utilizing access across organizations.

The evolving role of AI agents is reshaping identity management. These agents must be discovered, governed, and managed throughout their lifecycle, while also serving as operators that aid builders in administering identity environments using machine-native interfaces. With desktop agents and AI assistants increasingly interacting with enterprise applications on behalf of users, the challenge arises of granting trusted access without exposing sensitive information.

Capabilities to Address Shifting Access Needs

Ping is tackling these changes by implementing a cohesive set of capabilities within the Ping Identity Platform. These include:

  • Programmable Identity: AI-centric, headless interfaces and skills that enable programmable enterprise identities through MCP, CLI, APIs, and agent-ready workflows.
  • Agent Discovery and Governance: Ensures AI agents are discovered, managed, auditable, and subject to human accountability throughout their lifecycle.
  • Privileged Access for Desktop Agents: Provides just-in-time access to enterprise resources for various agents, aiming to protect sensitive information and minimize standing privilege.

Maintaining Governance with AI-driven Operations

These advancements support enterprises in executing AI-driven operations

These advancements support enterprises in executing AI-driven operations without duplicating identity infrastructures. The enhancements ensure governance and control extend across human, non-human, and AI-agent access channels. 

"AI agents are fundamentally changing how enterprise systems operate," said Andre Durand, CEO and Founder of Ping Identity. "As enterprises make applications consumable by AI agents, Ping is making identity programmable, agents visible and governable, and resource access trustworthy."

Advancing Machine-Friendly Interfaces

Enterprise identity is shifting from solely human administration through graphical interfaces to accommodating AI agents, code assistants, and machine-driven workflows. Ping Identity Platform enhances this transition with AI-first, headless interfaces that support programmatic work with identity through CLI and MCP. Additionally, agent-ready skills are offered to help AI agents perform routine identity tasks within established policies and guardrails.

These improvements enable teams to configure and manage access efficiently while applying centralized policies and controls. With AI agents deployed across environments, visibility into agent activities, access capabilities, operational methods, and accountability becomes crucial. Ping's added features facilitate comprehensive lifecycle management of agents, encompassing discovery, ownership assignment, policy enforcement, and decommissioning.

Securing Access Without Exposing Secrets

This approach is particularly beneficial for coding agents, as it links code commits back to the agents

AI agents and desktop agents must access various enterprise applications and tools to perform tasks for users. However, exposing agents to sensitive credentials poses security risks. Ping’s platform brokers access to resources, ensuring agents get necessary access without exposing sensitive data. This approach is particularly beneficial for coding agents, as it links code commits back to the agents, enhancing governance and control.

"AI agents are changing both how work gets done and how identity must operate," noted Peter Barker, Chief Product Officer at Ping Identity. "Enterprises need AI agents to operate across systems without creating new trust gaps. Ping helps organizations adopt AI faster while preserving governance, accountability, and control."

The introduction of these capabilities to the Ping Identity Platform prepares enterprises for the agentic era by making identity programmable, governing AI agents throughout their lifecycle, and ensuring trusted access without exposing secrets. This initiative ensures safe and efficient AI adoption while maintaining centralized identity governance.

Show full press release

Ping Identity, a pioneer in securing digital identities for the world's largest enterprises, announces new capabilities that extend the Ping Identity Platform for the agentic enterprise, where AI agents, builders, and automation increasingly participate in how access is configured, governed, and used across organizations.

AI agents are changing both sides of the identity equation. They are new actors that need to be discovered, governed, and managed across their lifecycle, and they are also new operators that can help builders administer and secure identity environments through machine-native interfaces. At the same time, desktop agents and AI assistants are beginning to interact with enterprise applications and resources on behalf of users, creating a new access challenge: agents need trusted access to do useful work, but should not be given direct exposure to the secrets that make that access possible.

Reducing standing privilege

Ping is addressing these shifts with a unified set of capabilities across the Ping Identity Platform:

  • Programmable identity: AI-first, headless interfaces and skills that make enterprise identity programmable through MCP, CLI, APIs, and agent-ready workflows
  • Agent Discovery and Governance: discovery, lifecycle governance, auditability, and human accountability for AI agents
  • Privileged Access for Desktop Agents: just-in-time access to enterprise resources for coding agents, AI assistants, and other desktop agents, designed to prevent secrets from being exposed to agents, reduce standing privilege, and attribute code commits to agents

Operational governance infrastructure

Together, these capabilities help enterprises support AI-driven operations without creating a parallel identity stack, preserving governance and control across human, non-human, and AI-agent access.

"AI agents are fundamentally changing how enterprise systems operate," said Andre Durand, CEO and Founder, Ping Identity. "As enterprises make applications consumable by AI agents, Ping is making identity programmable, agents visible and governable, and resource access trustworthy. Identity is evolving from authentication infrastructure into operational governance infrastructure for the agentic enterprise."

Machine-friendly interfaces

Enterprise identity is moving beyond human-only administration through graphical consoles. As teams adopt AI agents, code assistants, and machine-driven workflows, identity needs to become easier to configure, automate, and govern through machine-friendly interfaces.

The Ping Identity Platform extends enterprise identity through AI-first headless interfaces that allow builders and agents to work with identity programmatically, including through CLI and MCP. Ping is also introducing agent-ready skills that help AI agents understand and perform common identity tasks, including configuring access, troubleshooting flows, and applying governance controls within approved policies and guardrails.

Machine-driven workflows

Together, these interfaces and skills help teams configure, secure, and govern access more efficiently while continuing to apply centralized policies, approvals, and controls across the identity environment. As enterprises deploy AI agents across environments, they need visibility into which agents exist, what they can access, how they operate, and who is accountable for their actions.

Ping's new discovery and governance capabilities help organizations manage agents across their full lifecycle from discovery and ownership assignment to access review, policy enforcement, auditability, and decommissioning. Each agent can be treated as a first-class identity, tied to a human owner, governed by policy, and auditable across development and runtime environments.

Deploying AI agents

Coding agents, AI assistants, and other desktop agents need access to enterprise applications, systems, repositories, and tools to complete work on behalf of users. But giving agents direct access to credentials or long-lived secrets creates unnecessary risk and weakens enterprise control.

Ping enables trusted access for desktop agents by brokering access to enterprise resources without exposing secrets to the agents themselves. This is further enhanced for coding agents, where code commits are attributed to the agents to allow finer policy and control. Agents get the access they need to complete work, not the secrets behind that access, while enterprises retain control over how access is granted, governed, attributed, and audited.

Centralized identity governance

"AI agents are changing both how work gets done and how identity must operate," said Peter Barker, Chief Product Officer, Ping Identity. "Enterprises need AI agents to operate across systems and resources without creating new trust gaps. Ping helps organizations adopt AI faster while preserving governance, accountability, and control."

Together, these capabilities extend the Ping Identity Platform for the realities of the agentic enterprise: identity must be programmable, AI agents must be governed across their lifecycle, and agent access must be trusted without exposing secrets. With these additions, Ping helps organizations adopt AI agents more safely and efficiently while maintaining centralized identity governance, accountability, and control.

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Enhance your enterprise security with Ping Identity's AI-agent governance platform, enabling programmable identity, trusted access, and lifecycle management for AI agents. Safeguard resources and streamline operations efficiently.

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