Thousands of AI agents are operating inside corporate systems without anyone tracking them, creating a growing security problem that identity and security vendors such as Cyera, Okta and SailPoint are racing to address.
Enterprise AI security · Identity governance
Thousands of AI agents are running inside corporate systems with no one tracking them
Autonomous agents can read data, call internal services and take multi-step actions. Many are created outside central IT, holding credentials no one has reviewed. Vendors such as Cyera, Okta and SailPoint are moving to discover and govern them.
Thousands
AI agents operating inside enterprise environments
Unclear
What each agent accesses, what it does, and who owns it
Unknown
How many organizations are affected or how many incidents have occurred
The response takes shape as a governance loop
Discover, map, enforce, audit: the direction vendors are positioning around.
1. Discover
Find agents in use
→
2. Map access
See what each agent can reach
→
3. Enforce policy
Limit permissions and access
→
4. Audit trail
Record actions and owners
What vendors are positioning to do
Discover agents operating across the enterprise
Map the systems and data each agent can reach
Enforce access policies on agent identities
Treat governance as an extension of identity management
Open questions
Limited evidence on how well these tools work in practice
Uncertain adoption across companies
No clear cross-vendor standard for agent identities yet
No confirmed breach tied to unmonitored agents
Key takeaway
Agents will need the same identity discipline as employees and service accounts.
A defined owner for every agent
Scoped permissions tied to actual need
Audit trails for what agents do
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