Autonomous AI agents require a reassessment of access control, auditing, and data protection, with an open orchestration layer preserving independence from individual vendors.
Machine identities are a preferred attack target because they are often underprotected; structured inventory management, rotation, and monitoring significantly reduce risk.
69 percent of SaaS accounts in the Kaseya study have more uncontrolled guest access than licensed users, leading to significant security and compliance gaps.
AI agents with stable, broad permissions become uncontrolled super-users; they should instead be treated like sensitive service accounts with minimal, function-specific, and time-limited access.
Keeper Security brings privileged access management directly into Microsoft Teams to centralize approval processes for sensitive access and improve auditability.
31–50% of former employees retain access to unmanaged cloud services because these are not linked to central identity systems and are not automatically disabled when employees leave.
Just-In-Time Access replaces permanent access with automatically expiring time-limited permissions and reduces the exploitation window for compromised cloud identities from months to hours.
AI assistants frequently ignore existing permission structures when accessing enterprise data, exposing sensitive information that should not be accessible to individual users.
Collaboration tools are popular attack targets; proactive security measures, authentication, and employee training can reduce risks and increase profitability.
