Ping Identity has launched new identity management capabilities for organizations using AI agents and expanded its platform to cover governance and access control for machine-driven actors.
This update focuses on three areas: programmable identity tools and AI systems for developers. Control discovery and governance throughout the AI agent lifecycle. Privileged access management for desktop-based agents such as coding tools and AI assistants.
Enterprises are beginning to use AI agents not only as software entities that require system access, but also as operators to help configure and manage their identity environments. This change poses new questions for security teams around visibility, accountability, and credential handling.
Rather than creating a separate identity framework for AI deployments, Ping extends existing controls to enable organizations to manage human users, non-human identities, and AI agents within a single architecture.
programmable identity
Central to this announcement is the transition to machine-oriented management of identity systems. Ping is adding what it calls an AI-first headless interface that will make identity capabilities accessible through command line tools, application programming interfaces, MCPs, and workflows designed for software agents.
We’re also introducing agent-enabled skills that enable AI agents to perform tasks such as configuring access, troubleshooting identity flows, and enforcing governance controls within approved policy boundaries. These tools are aimed at teams that increasingly rely on automation and code-based workflows rather than just graphical management consoles.
This change reflects a broader trend in enterprise software that is moving IT operations and security management toward programmatic control. In identity management, this means that systems must serve both human administrators and automated tools acting on behalf of users or development teams.
Agent governance
Another part of the deployment focuses on managing the AI agent itself. As more organizations deploy agents across their internal systems, they need to know which agents exist, what resources they have access to, who owns them, and how their activity can be reviewed.
New controls include discovery, ownership assignment, policy enforcement, access review, auditability, and retirement. In this model, AI agents are treated as separate identities tied to their human owners and subject to monitoring during both development and runtime use.
As AI tools move from experimentation to production environments, governance issues become more pressing. Security experts warn that giving unmanaged agents broad powers without clear accountability or consistent controls can create blind spots.
Andre Durand, CEO and founder of Ping Identity, said the rise of AI agents is changing the role of identity systems within large organizations.
“AI agents are fundamentally changing the way enterprise systems operate,” Durand said.
“As enterprises enable applications to be powered by AI agents, Ping makes identities programmable, agents visible and manageable, and access to resources trusted. Identity is evolving from an authentication infrastructure to an operational governance infrastructure for agent enterprises.”
desktop access
The third element addresses desktop agents, including coding agents and AI assistants, that interact directly with enterprise applications, repositories, and tools. These systems may need to be accessed to complete tasks, but exposing credentials and long-lived secrets can increase security risks.
Ping says it brokers access to corporate resources without passing these secrets directly to agents. For coding agents, code commit attributes are also added, allowing organizations to distinguish between actions performed by an agent and actions performed by a human user.
This issue is important for companies implementing AI-assisted software development, where agents can write code, make changes to repositories, and interact with internal systems. Tracking what agents do and under whose authority they act is becoming a critical compliance and security requirement.
Peter Barker, Ping Identity’s chief product officer, said the company is focused on helping organizations expand their use of AI without weakening oversight.
“AI agents are changing both the way we get work done and the way we operate identities,” Barker said.
“Enterprises need AI agents that operate across systems and resources without creating new trust gaps. Ping helps organizations deploy AI faster while maintaining governance, accountability, and control.”
The announcement reflects how identity vendors are adapting their products as AI agents play a larger role in business systems. Rather than treating agent activity as a niche edge case, suppliers are starting to incorporate agent activity into core identity, access management, and auditing capabilities.
The challenge for businesses is no longer limited to authenticating staff and customers. This includes deciding how to recognize, manage, and grant access to autonomous and semi-autonomous software without losing human responsibility.
