Okta Launches Agent Management Platform with Discovery, Governance, and Kill-Switch Controls

Okta announced the general availability of Okta for AI Agents, a management platform designed to address core enterprise security gaps as AI agents become embedded in business operations. The platform tackles three specific requirements: locating all deployed agents, monitoring their activities and access permissions, and executing emergency shutdown protocols.

Core Capabilities

The platform enables one-click import of AI agents and associated metadata from Salesforce, ServiceNow, Google, and AWS. Okta's agent discovery tool runs continuously in the background to identify unmanaged agents and assigns them to owners with governing policies.

The governance dashboard provides granular visibility and control over agent access, down to individual tool-level permissions. A notable feature is an emergency termination mechanism: when an agent exhibits unauthorized access behavior, administrators can trigger universal logout to automatically revoke tokens and deactivate access.

"This technology wave has tremendous potential, but we have to make sure we put the right controls and foundational groundwork in place to make it secure as well," Okta CEO Todd McKinnon said during the announcement Monday.

Industry Definition Gap

During the presentation, Dell Technologies CTO John Roese highlighted a fundamental industry challenge: no consensus exists on what constitutes an AI agent. Some vendors treat agents as model features hidden behind proprietary APIs, while others view them as composable software systems with autonomous capabilities.

Roese argued for the latter definition, stating that true agents are "software systems that do autonomous work" using large language models, knowledge graphs, tool-use interfaces (primarily MCP), and inter-agent communication protocols (A2A). This distinction matters for security: agents hidden in "black box" model APIs are difficult to control at the authorization level.

Okta's platform addresses this by treating agents as first-class entities within enterprise identity frameworks, rather than as features of model providers. McKinnon noted that Okta's 17-year history securing identity—from cloud adoption through mobile and remote work—positions the company to manage agentic AI as the next security frontier.

Market Context

The product launch reflects growing concern about uncontrolled AI agent deployment across enterprises. As agents gain autonomous access to business systems and data, visibility and control mechanisms have become critical operational requirements. Okta's approach centralizes agent inventory and access governance, similar to how the platform manages human user identities.

Pricing and detailed feature availability have not been disclosed.

What This Means

Okta for AI Agents addresses a real operational gap: enterprises deploying agents across multiple platforms currently lack centralized visibility and control mechanisms. The platform's core value proposition—inventory, monitoring, and emergency access revocation—is table-stakes for enterprises managing autonomous systems.

However, the broader challenge Roese identified remains unresolved: industry-wide agreement on what constitutes an agent. Until vendors, enterprises, and model providers align on architectural definitions, fragmented agent governance will persist. Okta's success depends on whether enterprises adopt its definition of agents as independent software systems rather than model features.