What's Happening?
Okta has unveiled a new suite of capabilities designed to secure the growing use of AI agents within enterprises. Announced at the Oktane 2025 conference, these updates expand the Okta and Auth0 platforms to support secure integration of AI agents through an identity security fabric. This framework manages both human and non-human identities, addressing the need for governance as AI agents become more prevalent in business operations. Okta's research indicates that while 91% of organizations use AI agents, only 10% have strategies to govern them, highlighting the potential security risks. The new features include lifecycle security for AI agents, a new open standard for securing agent-to-app connections, and a platform for issuing verifiable digital credentials.
Why It's Important?
The introduction of Okta's identity fabric is crucial as it addresses the security challenges posed by the rapid adoption of AI agents in enterprises. These agents often require broad access privileges, making them potential weak points if not properly managed. By providing tools for governance and secure communication, Okta helps organizations mitigate risks associated with AI-powered operations. The move also reflects the growing importance of identity management in cybersecurity, as businesses face increased scrutiny from regulators and boards regarding data protection and cyber resilience.
What's Next?
Okta plans to continue developing its identity fabric, with features like lifecycle security for AI agents expected to enter early access in 2027. The company is also working on embedding its new Cross App Access standard in its Auth0 developer platform, facilitating secure interactions between applications and AI agents. As AI adoption continues to surge, Okta's solutions will play a key role in helping organizations maintain secure and efficient operations, while complying with regulatory requirements.
Beyond the Headlines
The launch of Okta's identity fabric highlights the evolving landscape of enterprise security, where traditional user-based models are being supplemented by frameworks that address non-human identities. This shift underscores the need for comprehensive security strategies that encompass all aspects of digital operations, including AI-driven processes. As businesses increasingly rely on AI for automation and productivity, the ability to secure these technologies becomes a critical factor in maintaining competitive advantage and regulatory compliance.
