Realtime AI News
Okta's agent gateway brings runtime control to AI agents
Okta has introduced an Agent Gateway that polices what AI agents do at runtime, according to SiliconANGLE. The move targets a practical enterprise fear: agents hold real credentials and call internal systems automatically, so controlling their actions requires more than login-time identity checks.

Identity and access management vendor Okta has introduced an Agent Gateway designed to police what AI agents do at runtime, according to SiliconANGLE. The gateway is aimed at supervising agents while they act, not just verifying identity at the moment of login.
That focus speaks to the most practical fear enterprises have about agents: they hold usable credentials and call internal systems automatically, so a misbehaving agent is hard to catch with identity systems built around human users.
Moving the control point to runtime lets organizations judge whether a specific action should be allowed based on the agent's identity, its context, and what it is trying to reach — rather than relying on static role permissions alone.
For Okta, the play is also a growth story. If autonomous agents become a new class of user, the identity market has to expand to cover them, and incumbents want to own that layer before it hardens into someone else's territory.
The open questions are how transparent the gateway's audit trail will be, and how much integration work it takes to connect with the agent frameworks and cloud platforms enterprises already use.
Why it matters
Runtime governance is becoming a new layer of the enterprise security stack as agents gain real permissions. Whoever owns that layer gains leverage over how agents get deployed.
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Meta's Muse AI agent tracks down a user's $1,500 in unclaimed funds
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