AI Gateway Security: Risks, Best Practices, and Protection
Akto, Monday, October 26th, 2026
Akto covers AI gateway security, including key threats, request lifecycle controls, and why the gateway itself is a target.
The Akto article describes AI gateway security as the controls on traffic between applications, agents, and model providers, including caller authentication, model access control, prompt and response inspection, data loss prevention, token-aware rate limits, and audit logging.
It warns that gateways are high-value targets, citing a LiteLLM proxy SQL injection exploited within 36 hours of disclosure.
Key threats include prompt injection, sensitive data disclosure, excessive agency, and unbounded consumption, so output inspection and tool restrictions are also needed.
The article contrasts AI gateways with API gateways and AI firewalls, maps gateway evidence to NIST AI RMF, ISO/IEC 42001, and AI TRiSM, and promotes Akto's products.