Why AI Security And API Security Go Hand In Hand

API security is foundational to safely enabling AI agents. Organizations should treat AI agents as new user agents that interact with backend services via protocols like MCP and A2A, requiring the same rigorous access controls applied to human users. Key recommendations include adopting OAuth 2.0 with short-lived access tokens and scoped permissions to enforce least privilege, using attribute-based access control so APIs can authorize requests with full context about the user and agent, implementing step-up authentication for high-privilege operations, and aligning stakeholders early on AI security requirements covering consent, data access boundaries, and agent behavior. Zero-trust principles and mature API security foundations are presented as prerequisites for scaling AI initiatives safely, with token intelligence serving as the core data security building block.