What is AI API Security?
TL;DR
A security discipline using AI to auto-inventory every API and detect and defend against anomalies based on behavior.
AI API Security: Definition & Explanation
AI API security is the discipline of discovering, visualizing, and defending the APIs that connect applications, with AI learning the baseline of normal traffic to detect anomalies. As microservices and SaaS integrations became standard, APIs became attackers' biggest entry point. A WAF blocks known web attacks but can't stop API-specific business-logic abuse like broken authorization (BOLA/BFLA) and excessive data exposure (OWASP API Security Top 10). AI analyzes traffic to inventory even undocumented 'shadow APIs' and old 'zombie APIs,' detects signs of attacks deviating from normal usage patterns, prioritizes the genuinely dangerous APIs among thousands, and automates blocking and alerts. Salt Security, Traceable AI, Noname Security (Akamai), Cequence, Wallarm, and Wib are representative examples. To defend, you must first know 'what exists,' so start with discovery, prioritize with the OWASP API Top 10, and roll out from visualization to blocking in stages. Measure impact via API visibility rate, vulnerable endpoints closed, and attacks blocked.