"The rapid rise of AI agents is pushing identity controls away from a 'bouncer at the door' analogy and toward continuous, context-aware evaluation, throughout your systems and processes."
"In a continuous evaluation model, a valid token is still necessary but not sufficient alone. Centrally defined policies should confirm that the subject and its context still meet all the requirements at that moment."
"Evaluating these signals at the edge can significantly reduce the window of identity abuse. This approach applies equally to human users, machine workloads, and these emerging hybrid identities created by agentic AI."
Many organizations are in the early stages of AI maturity, focusing on governance and controls. Integrating AI into existing systems poses challenges, particularly regarding identity management. As AI-driven attack surfaces grow, identity becomes crucial for securing automation and limiting potential damage. The traditional model of static token validation is outdated. A continuous evaluation model is necessary, where identity context is constantly assessed to ensure security. This model applies to human users, machine workloads, and AI identities, enhancing overall security and reducing identity abuse risks.
Read at ComputerWeekly.com
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