The AI Agent Security Gateway serves as a unified secure portal for enterprises to govern LLM calls and AI Agent activities. It addresses prominent pain points including unauthorized employee access to external LLMs, scattered API Key administration, sensitive data upload to models, unauthorized file access or high-risk command execution by AI Agents, uncontrollable AI operating costs, and lack of audit trails for all model invocations.

It fits a wide range of use cases such as group-wide unified LLM access portals, internal AI assistants, knowledge base Q&A, intelligent customer service, coding aids, contract review, and AI Agent tool invocation. Its core strengths lie in unified model integration, centralized API key custody, standardized security inspection, and consistent audit tracking, enabling enterprises to leverage AI conveniently while maintaining full security and control.

The product features two core functional modules:

Unified LLM Access & Token Consumption Management

The gateway centrally stores and distributes access credentials for all types of LLMs, delivering one-stop access to multiple models. It also provides access permission control, usage quota and traffic throttling, as well as consumption and cost analytics, drastically lowering the technical barrier for enterprises to integrate public, private and on-premises LLMs.

LLM Interaction & AI Agent Security Protection

The gateway conducts comprehensive security validation on all input and output data exchanged between users, AI applications, AI Agents and LLMs. Its capabilities cover sensitive data identification, credential risk detection, high-risk command interception, AI Agent execution governance, local sandbox isolation and full-lifecycle operation auditing. These functions mitigate security hazards including data leakage, API key exposure, prompt injection, and unauthorized execution by AI Agents.