Agentic AI changes the shape of trust

This article examines how Agentic AI fundamentally challenges traditional identity and access management models, creating new security risks that standard controls were not designed to address.

• •Agents request access dynamically and accumulate permissions through their actions without explicit approval, creating untracked access paths that compound over time
• •Delegated access (agents acting as users) and autonomous access (agents with their own credentials) present distinct governance challenges that organizations often manage inconsistently
• •Agent operations create attribution gaps in security incidents, making it difficult to determine authorization, execution, and accountability when incidents occur
• •Existing security tools (IAM, PAM, secrets management) were designed for human-centric access patterns and cannot keep pace with agent context shifts at machine speed