Cequence Security Adds Generative AI to API Security
Cequence’s latest updates to the Unified API Protection platform help organizations reduce the time needed to create API security testing plans.
API security focuses on protecting application interfaces from unauthorized access, data exposure, abuse, and flaws in authentication or design.
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Background for this topic.
Application Programming Interfaces (APIs) are sets of rules that allow software applications to communicate and exchange data, often enabling functionality across different systems or services. APIs define how requests and responses are structured, making it possible for programs to interact without direct user involvement. In cybersecurity, APIs are commonly exposed over networks as endpoints that handle sensitive operations like data retrieval, user authentication, or transaction processing.
APIs increase the attack surface by exposing endpoints that attackers can target with unauthorized access attempts, injection attacks, or denial-of-service. Common risks include weak or missing authentication, insufficient input validation, and improper rate limiting. Effective API security requires strong authentication protocols (e.g., OAuth), strict input validation to prevent injection, rate limiting to mitigate abuse, and comprehensive logging to detect anomalies. Protecting APIs is critical to prevent data leaks, privilege escalation, and service disruption in interconnected environments.
Cequence’s latest updates to the Unified API Protection platform help organizations reduce the time needed to create API security testing plans.
By leveraging misconfigured DLLs instead of EDR-monitored APIs, this new technique injects malicious code into running processes, completely evading endpoint security.