API Behavior Analytics Framework for Cross-Phase Threat Detection

The patent implements a universal behavior analytics framework that monitors and analyzes API calls across all phases of the attack chain (reconnaissance, resource development, initial access, execution, persistence, privilege escalation, defense evasion, credential access, lateral movement, command and control, and exfiltration). The system uses a unified anomaly detection engine that applies consistent behavioral analysis rules throughout the entire attack chain, enabling it to detect various types of API security vulnerabilities (authentication vulnerabilities, authorization vulnerabilities, data access vulnerabilities, etc.) with a single system, thereby achieving both detection precision and broad adaptability

The patent segments the attack chain into distinct phases (reconnaissance, resource development, initial access, execution, persistence, privilege escalation, defense evasion, credential access, lateral movement, command and control, and exfiltration), with each phase having specialized detection rules and analysis depth. The behavior analytics framework processes API calls at each phase with appropriate analytical rigor while maintaining visibility across the entire attack chain, ensuring both deep analysis of individual phases and complete picture of the overall attack

The behavior analytics framework implements self-service mechanisms through automated baseline establishment, where the system automatically learns normal API call patterns from historical data and establishes behavioral baselines without manual intervention. The anomaly detection engine automatically adapts to new attack patterns and adjusts detection thresholds, reducing the need for complex manual configuration and maintenance while maintaining comprehensive detection coverage across all attack chain phases