Securing agentic AI within enterprise environments requires treating agents as first-class entities with unique identities, rather than relying solely on user-based credentials. WSO2 architect Ayesha Dissanayaka highlights that 97% of organizations facing AI-related security incidents lack proper access controls, leading to risks like privilege escalation. By assigning distinct identities to agents, enterprises can implement granular role-based access, audit autonomous actions, and trace interactions performed on behalf of users. The proposed solution utilizes an "actor" token within the OAuth flow to distinguish between the user and the agent, ensuring accountability and enabling dynamic consent. This framework allows systems to monitor agent behavior, enforce rate limiting, and restrict access to sensitive resources, effectively mitigating security vulnerabilities inherent in rapid AI integration without compromising operational efficiency.
Sign in to continue reading, translating and more.
Continue
