AI agents are rapidly moving beyond answering questions to taking actions inside companies, creating a new challenge around what these agents should be allowed to do.

Why it's important: As AI agents gain access to company software, write code, retrieve information and complete tasks, organizations must now determine how to govern these non-human actors operating at machine speed.

• Companies have spent decades building identity and access management systems around employees, customers and partners. But the rise of AI agents is changing the equation.
• AI agents are increasingly able to interact with company tools, make decisions and take action with limited human involvement.

🔮 The outlook: Identity is evolving beyond simply managing logins and access. It's more about giving companies the right tools to verify users, apps and AI agents and authorize every action in real time before they act, providing a layer of control for digital trust.

An expert take: "Organizations can't afford to create a separate trust and governance model for AI agents every time a new capability emerges," said Andre Durand, Ping Identity founder and CEO.

• "Every AI-driven action still requires the same fundamental questions we've always asked in identity: Who is acting? What are they allowed to do? And who is accountable for the outcome? Identity is the foundation for answering those questions at scale for agents as well."

What this means: Organizations need confidence that AI agents can operate within approved boundaries, that credentials and private information remain protected, and that actions taken by autonomous AI agents can be audited and traced back to responsible human owners.

• Without proper governance, AI adoption creates security risks, compliance concerns and operational uncertainty.

🔍 Ping Identity introduced capabilities designed to help companies govern AI agents alongside human users and applications, including:

• Runtime control of every agent action: Full least-privilege control over which agents can access which resources, evaluated in real time under context.
• AI agent discovery and governance: Tools to help companies find AI agents, assign ownership, manage permissions and track how they operate over time.
• Privileged access for agents: Controls that let coding agents, AI assistants and desktop agents reach enterprise systems without exposing credentials or secrets.

The impact: These capabilities provide a unified way to manage identities across humans, applications and AI agents, helping companies maintain trust as AI takes on more work.

⭐️ The takeaway: Organizations using AI need to establish clear rules around who — or what — can act, what access is permitted and how those actions are monitored over time.

• "As AI becomes part of how work gets done, organizations need the same accountability and control for AI agents that they expect for human users," said Durand.

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