The Third-Party Agent Problem: Why Security Built for AI You Chose Misses the Agents You Didn't
Many third-party AI agents in enterprise software are invisible to security controls.
A new report highlights that a significant number of third-party AI agents embedded in enterprise software are not visible to existing identity and security infrastructure. These 'inherited' agents, often bundled within existing applications, bypass traditional security review processes, creating a blind spot for organizations. The article emphasizes that security risks lie not in the AI models themselves, but in the scaffolding and ecosystem that grant these agents access and permissions.
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The lesson from this incident
Full lessonOrganizations are unknowingly inheriting third-party AI agents bundled within enterprise software, bypassing standard security review and identity governance processes. The core risk is not the AI models themselves but the permissions and access scaffolding granted to these agents without explicit authorization or oversight. Because these agents are embedded rather than deliberately deployed, they fall outside existing security tooling designed for known, chosen software. This creates a significant blind spot where agents may hold excessive permissions, interact with sensitive data, and operate entirely unmonitored. If left unaddressed, organizations lose visibility and control over a growing attack surface introduced through trusted software vendors.
What helps against this
How we list vendors- Identity governance and single sign-on
People who leave or change roles lose access everywhere at once, and forgotten accounts stop piling up.
- Cyber asset inventory
You cannot patch, monitor or protect the devices, cloud resources and accounts you do not know you have.
- SaaS security posture management (SSPM)
Business apps like Microsoft 365 and Salesforce stop leaking through risky settings and connected apps.