Скачать или смотреть Unified authorization architecture for autonomous AI agents and non-human identities

Critical need for a unified authorization architecture to manage the unique security risks posed by autonomous AI agents and non-human identities. Traditional identity management systems are insufficient for these entities because agents operate at machine speed, exhibit unpredictable behaviors, and often possess excessive privileges that bypass standard human-centric controls. To address these vulnerabilities, the text advocates for shifting the focus from authentication to dynamic, context-aware authorization enforced through policy-as-code. This proposed framework establishes a centralized control plane that governs the entire lifecycle of an identity, ensuring least privilege enforcement and real-time visibility. By adopting this model, organizations can effectively mitigate agentic risks and maintain rigorous compliance while scaling their AI capabilities. The source ultimately concludes that continuous, automated oversight is the only viable method for securing the increasingly complex landscape of machine-to-machine interactions.