Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

With the rapid evolution of artificial intelligence (AI), attackers are now leveraging machine learning (ML) to mount sophisticated attacks on Application Programming Interfaces (APIs). These AI-powered threats, including adaptive bots, automated vulnerability scanning, and synthetic identity generation, represent a new wave of risks that traditional defenses are unable to address effectively.

Most organizations are using AI in some way today, whether they know it or not. Some are merely beginning to experiment with it, using tools like chatbots. Others, however, have integrated agentic AI directly into their business procedures and APIs. While both types of organizations are undoubtedly realizing remarkable productivity and efficiency benefits, they may not know they are putting themselves at a significant security risk.

Think about how your banking app connects to payment processors or how your healthcare provider’s system shares records securely – APIs have become essential for modern digital interactions, enabling applications to communicate and share data effortlessly. However, this convenience comes at a cost: APIs often handle vast amounts of Personally Identifiable Information (PII), making them prime targets for API data exfiltration.

A devastating new remote code execution (RCE) vulnerability, CVE-2025-24813, is now actively exploited in the wild. Attackers need just one PUT API request to take over vulnerable Apache Tomcat servers. The exploit, originally published by a Chinese forum user iSee857, is already available online: CVE-2025-24813 PoC by iSee857.

APIs serve as essential links in today’s digital infrastructure, enabling data sharing and application integration. However, their widespread use has made them prime targets for attackers. Hence, strict compliance with security regulations is not just optional; it is imperative for business success. The increasing frequency of data breaches and the sophistication of cyber threats highlight the pressing need for strong API security.