The effective access of AI agents is not determined by IAM permissions alone, but by the interplay with firewall rules, cloud policies and microsegmentation — a policy governance task that most organizations systematically underestimate.
Zero-trust architectures are converging with IAM systems to transform authentication from a one-time event into an ongoing process that evaluates contextual signals such as device security status, geographic location, and behavioral patterns.
Temporary onboarding passwords distributed via email or SMS and not consistently changed create unnecessary security risks for companies and violate NIS2 standards.
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.
Identity Visibility and Intelligence Platforms help enterprises capture fragmented identity activity that is invisible to traditional IAM systems, thereby reducing the attack surface.
The disparity between machine-IDs and human accounts is growing so dramatically in cloud-native environments that traditional IAM processes are failing, creating security gaps.
Runtime Identity assesses access not once during login, but evaluates situationally at every action whether an identity should execute the intended operation.
