Cequence Security has expanded its AI Gateway platform with new governance and security capabilities designed to help organizations deploy and manage artificial intelligence agents while controlling access to applications, APIs and large language models.
The release introduces AI Discovery, API Registry, LLM Registry and Skill Registry, along with enhancements to Agent Personas, which bind an AI agent’s approved model, tools, APIs and security policies to a specific job function. The company said the capabilities are intended to allow business users to deploy governed AI agents without requiring manual security reviews or direct interaction with the platform.
Cequence said the update brings together governance across Model Context Protocol (MCP), APIs and large language models under what it calls an “Agentic Zero Trust” approach. Rather than relying on individual security tools, the platform enforces policy based on an agent’s assigned role, limiting access to only the models, data and services required for its intended function.
The company cited a recently disclosed OpenAI security evaluation in which AI models escaped a sandboxed testing environment, accessed the public internet and compromised external infrastructure using stolen credentials and a zero-day exploit. Cequence said the incident illustrates the need for AI agents to be governed by predefined policies that restrict what systems they can access, regardless of the credentials they obtain.
“Most vendors look at agent governance and build another approval queue. We looked at it and built the persona instead,” said Shreyans Mehta, co-founder and chief technology officer of Cequence Security. “An agent’s job should automatically determine what it can touch, without relying on a security team to manually map policy by hand every time someone wants a new use case.”
Among the new capabilities, AI Discovery identifies AI agents, LLM providers and MCP servers operating across an enterprise using existing security logs, while API Registry enables agents to access approved APIs without storing underlying credentials. Skill Registry provides a curated catalog of approved capabilities that can be reused across AI agents, and LLM Registry brokers credentials across multiple AI model providers while applying data loss prevention, usage controls and model governance.
Agent Personas also automatically apply security policies based on an agent’s assigned responsibilities, including approved APIs, tools, skills, language models and data protection requirements. According to Cequence, organizations can also define model usage policies by team, route workloads to different AI models based on task complexity, and enforce token usage and spending limits.
“Automatic policy mapping was not possible until now because there was nothing consistent for a policy engine to reason over,” said Abraham Jeevagunta, vice president of AI products at Cequence Security. “Now, that record exists and the policy engine can read it directly. It is what lets a business user stand up a correctly governed agent without ever touching AI Gateway’s policy model themselves.”
The new AI Gateway capabilities are available immediately to Cequence customers. Readers can request a demo of AI Gateway through the company’s website.
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