AI agents in enterprises manipulate critical systems without identity controls, creating attack vectors that classical security solutions cannot detect.
AI agents must be treated as additional identities in identity governance systems, as they can access critical systems and data with minimal oversight.
Unmanaged non-human identities represent a systematic security gap that will manifest as a mass outage in 2026 when expired machine certificates in millions of enterprise-dependent services expire simultaneously.
Data sovereignty through local cloud infrastructure is necessary but insufficient — true control requires robust identity governance and transparency over metadata, encryption keys, and access protocols.
Identity Visibility and Intelligence Platforms help enterprises capture fragmented identity activity that is invisible to traditional IAM systems, thereby reducing the attack surface.