Cequence Brings Agentic Zero Trust Across MCP, API, and LLM So Every Business Team Can Deploy Agents Without Losing Control

Cequence Brings Agentic Zero Trust Across MCP, API, and LLM So Every Business Team Can Deploy Agents Without Losing Control Cequence Brings Agentic Zero Trust Across MCP, API, and LLM So Every Business Team Can Deploy Agents Without Losing Control For the first time, finance, marketing, HR, and ops teams can stand up a fully governed AI agent themselves, without waiting on a security review cycle GlobeNewswire July 30, 2026

SANTA CLARA, Calif., July 30, 2026 (GLOBE NEWSWIRE) -- Cequence Security, the leader in application, API, and agentic AI protection, today announced four new capabilities for AI Gateway: AI Discovery, API Registry, LLM Registry, and Skill Registry. The release also upgrades Agent Personas, which now bind an agent’s job description directly to its model, tools, access, and guardrails, all enforced automatically through policy. Together, these capabilities let any business user stand up properly secured, governed AI agents, bound to the right tools, data, and protections for their job, without needing technical experience or touching AI Gateway directly.

With this release, Cequence becomes the first platform to close the ring around every channel an AI agent uses to communicate with the outside world. MCP governs how an agent discovers and invokes tools. LLM Registry governs every call to and from a language model. API Registry governs how it reaches backend services and data. Agent Personas bind an agent's tools, model, and API access to a single job description, enforcing that boundary as policy rather than manual review. Where other vendors address one piece of that surface, Cequence ties MCP, LLM, and API together under one agent-bound identity, an approach we call Agentic Zero Trust. Nothing an agent touches is implicitly trusted, and every action is scoped to exactly what its job requires.

The stakes are no longer hypothetical. OpenAI recently disclosed that two of its models escaped a sandboxed evaluation environment, crossed the open internet, and breached Hugging Face's production infrastructure, chaining stolen credentials and a zero-day to steal a benchmark answer key. Nothing had bound those agents to a job, so nothing stopped them from inventing one.

Notably absent was any binding between the agent and its assigned job. Under Cequence, that binding is the Agent Persona, and an agent's models, tools, and APIs are defined by its job description, not by what it can reach once it's loose. Hugging Face's production infrastructure was never going to be on that list, regardless of what credentials the agent got its hands on. A zero-day can still get an agent past a sandbox, but it can't get a persona-bound agent past a policy that was never written to allow it there in the first place.

Agentic AI adoption has outrun agentic AI governance. Point solutions have addressed pieces of the problem, a scanner here, an API gateway there, and a prompt filter somewhere else. None of them answer the questions every security leader is now asking: which agents does the organization have, what can they reach, what actions can they take, who approved them, and how fast can they be shut down when governance guardrails are violated.

Enterprises are recognizing that AI agents with access to applications and data are much more than tools. They are privileged insiders operating at machine speed and require the same governance discipline as any other privileged use inside of the business. Enterprises already secure, manage, and guide human employees whether they work from an office or remotely, and AI agents need the same standard, regardless of whether they run on managed devices or in the cloud.

“Most vendors look at agent governance and build another approval queue. We looked at it and built the persona instead,” said Shreyans Mehta, CTO and Co-Founder at 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. That’s what makes broad adoption safe and scalable, and the agent gets exactly what its job requires, and nothing more.”

Cequence AI Gateway’s new and improved capabilities include:

“Automatic policy mapping was not possible until now, because there was nothing consistent for a policy engine to reason over,” said Abraham Jeevagunta, VP of AI Products at Cequence Security. “Before API Registry and Skill Registry, every tool and API a persona could be bound to was uncatalogued, so mapping policy to persona was a manual judgment call every time. 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.”

All of these capabilities are immediately available to Cequence customers as part of AI Gateway. To learn more or discuss how these capabilities apply to your environment, request a demo at: https://www.cequence.ai/demo/ai-gateway/.

About Cequence Security
Cequence protects the applications and data that power the agentic enterprise. More than a decade of bot defense and API security experience has established Cequence as the leader of safe and secure agentic AI adoption. The Cequence platform delivers deep insight into user, entity, and agent behavior, enabling organizations to secure, govern, and control agentic AI workflows while protecting against bad actors and rogue agents. Cequence delivers value in minutes rather than days or weeks with a highly scalable, no-code approach. Trusted by the largest and most demanding private and public sector organizations, Cequence protects more than 10 billion daily API interactions and 4 billion user accounts. To learn more, visit www.cequence.ai.

Media Contact
Katrina Porter
Corporate Communications, Cequence Security
press@cequence.ai


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