Protect AI innovation on AWS with API security
F5, Thursday, August 21st, 2025
As more and more organizations pursue AI, they increasingly rely on APIs to connect AI models to applications and data for training and inference. However, the more API connections, the higher the risk. Threat actors can abuse APIs to exfiltrate data, jailbreak AI models, and even steal the models themselves.
A single AI application can have hundreds of API endpoints that are difficult for security teams to track, and configurations are only getting more complicated. According to Gartner, more than 30% of the increase in demand for APIs will come from AI and tools using large language models (LLMs) by 2026.1
Don't neglect the security infrastructure of APIs used for AI. These APIs require extra due diligence to help protect you and your AI investments from advanced exploits, as well as unique oversight and authentication considerations.