AI agents spark an identity cleanup
Identity tools built for humans are breaking under agent load. Enterprises are discovering they can't deploy agents at scale without fixing decades of IAM debt.
Why it matters
AI agents moving into production are exposing identity and access management weaknesses that enterprises can no longer defer. Security and compliance teams must reconcile fast-moving agent deployments with legacy IAM architectures, integration costs, and permission boundaries that weren't designed for autonomous workloads.
The key facts
5 to knowAgent deployments moving from pilot to production scale
Legacy identity tools and integrations creating security gaps
Security teams facing pressure to enable agent velocity while maintaining control
Identity governance emerging as operational blocker for agent adoption
Enterprise IAM refresh cycle triggered by agentic AI workloads
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Identity and access management is getting a second look as AI agents move from pilots into production. The rush to deploy them is exposing decades of stitched-together identity tools, integration costs and security gaps that enterprises can no longer ignore. Security teams face pressure to let the…