Cequence AI Gateway

The missing agentic security layer connecting and protecting your applications and data

The Cequence AI Gateway provides the security and governance enterprises require to confidently deploy agentic AI workflows at scale.
A graphic depicting the AI gateway in between AI agents and enterprise applications.
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Secure Agentic AI Enablement

MCP-enable applications in minutes, securely, without coding

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Least Privilege Access

Integrated user, tool, and agent privilege management

Agentic AI Governance

Monitoring, logging, and sensitive data protection

Whether you’re just getting started and evaluating AI agent platforms or are already embarking on projects to deliver the benefits of agent access, Cequence has you covered.
Read the AI Gateway Datasheet
Personalized Demo

Welcome to the Cequence AI Gateway. Let’s explore how quick and simple it is to AI enable your enterprise applications, from setup to deployment in just a few clicks.

First let’s explore the App Catalog inside the Cequence AI Gateway where you can view all the applications that can be connected to an MCP server in minutes. Users can browse more than 140 supported apps that can be enabled for AI agents like Claude or Copilot to securely access and interact with enterprise data and workflows — all without custom coding.

Let’s say you want to enable AI agents to connect to your Atlassian Confluence knowledge base. We can select Confluence API endpoints based on the functionality we want to enable. Each selected endpoint becomes a tool that the AI agent can securely use through the MCP server — eliminating the need for manual coding or configuration. Choosing the endpoints defines what actions AI agents are permitted to take within Confluence, ensuring organizational control, compliance, and visibility.

Now, we can finalize the MCP server configuration and choose how it will be deployed. We specify the server name, apply security guardrails, and whether you want to deploy it as a prototype, or if it’s ready for production immediately.

Finally, we deploy the MCP server, either in a private cloud or as a fully managed deployment in the Cequence Cloud. This ensures a secure, scalable setup that’s ready for enterprise use in just minutes.

Here we configure how AI agents authenticate when interacting with the connected application through the MCP server. The Cequence AI Gateway supports a wide range of enterprise-grade authentication methods, including OAuth 2.0, to meet each organization’s security and compliance requirements. This flexibility allows enterprises to enforce consistent security standards across all MCP-enabled applications, ensuring that AI agents only access authorized systems and data.

And now, the MCP server has been successfully created and the application is fully configured and ready to be accessed by AI agents through the Cequence AI Gateway.

AI Gateway Overview

Cequence delivers two key superpowers for your secure AI transformation: instant AI-ready APIs, and a critical layer of protection, using context-aware security policies to govern every stage of AI interaction—from authentication and authorization to continuous monitoring.
“The Cequence AI Gateway is a major unlock for us to safely expose internal API to MCP servers as it looks to solve many of the authentication/authorization gaps left behind in the MCP design.”
— CISO, Fortune 50 Telecommunications Company

Embracing the Future of Agentic AI Productivity

Organizations are aggressively moving to enable their applications to interact with AI agents in pursuit of more efficient workflows, worker productivity, and transformative customer experiences. CISOs and security-first engineering leaders want to ensure guardrails are in place and security is maintained, while CIOs are understandably concerned about the opportunity cost incurred by having to up-skill needed developers. Organizations want a solution that accelerates ROI and avoids insecure, one-off prototypes in favor of a scalable, enterprise-grade solution.

AI Gateway Key Features

A stylized button with the word “easy” on top.

Your AI Easy Button

The Cequence AI Gateway is the easiest, fastest, and safest way to open applications to the benefits of agentic AI. Delivered as a SaaS-based solution, no new infrastructure is required. Our no-code approach enables agentic AI access to any internal, external, or SaaS application in minutes.
AI Gateway - image depicting using the Model Context Protocol (MCP)

Security Built In, Not Bolted On

AI Gateway eliminates the risks of rogue MCP servers by providing a trusted server registry for teams to access. Official application APIs are transformed into MCP-compatible tools with just a few clicks. Built-in guardrails such as automated tool risk scoring and rate limiting keep agents from going rogue.
AI Gateway end-to-end authentication and authorization - a key with authorization

End-to-End Authentication and Authorization

Integration with OAuth 2.1-compliant identity infrastructure ensures adherence to organizational identity policies and permissions. Built-in token lifecycle management provides appropriate identity-based access to systems and data while preventing unauthorized AI agent access.

Agent Least Privilege Access

Define your agent’s job description in plain English and automatically generate a tailored “Agent Persona” with only the tools and permissions it needs to operate. Agent Personas enforce strict boundaries on what each AI agent can access and execute, from data retrieval to tool usage and system actions. The result is minimized risk, better performance, and lower operational costs.
A stylized graphic depicting various agentic personas.

Monitoring and Visibility

Provides real-time visibility into AI-API traffic with full audit logging enabling detailed tracking of agent and user behavior, which applications are being accessed, and what API calls agents are making.
AI Gateway dashboard of monitoring and visibility

Sensitive Data Protection

Apply DLP scanning to AI agent requests and MCP server responses to detect and prevent unintended sensitive data exposure. Monitor, redact, and block sensitive data across more than 100 out-of-the-box detection types. Easily integrates with existing DLP infrastructure.
A graphic with three buttons and the words Monitor, Redact, and Block, respectively.

Built for the Enterprise

AI Gateway supports SaaS-based and on premises deployments, offering the scalability, performance, and reliability that the world’s largest organizations demand. Continuous environment monitoring, OAuth 2.1 IdP support, RBAC, and discrete pre-prod/prod modes are but a few of the AI Gateway’s enterprise capabilities.
Cequence AI Gateway - built for the enterprise depiction of security, cloud, mobile, servers and laptops all included
A circular image depicting the Cequence Unified Application Protection Platform and its API Security and Bot Management products, and Agentic AI Enablement with the AI Gateway product. Cequence logo in center.

Complements Existing Cequence Deployments

Integration with Cequence’s API Security and Bot Management solutions provides access to automatically-generated, enhanced API specs that boost agentic AI performance, accuracy, and cost effectiveness. Cequence also delivers protection from agent-fueled attacks, abuse, and fraud against all applications and APIs, including those connected to the AI Gateway.
Read the AI Gateway Datasheet 

Learn more about AI Gateway

Simple as 1-2-3

Enabling your applications and APIs to communicate with agents is simple and straightforward.
1

Connect Your Applications

Choose from existing application APIs or upload an existing OpenAPI/Swagger API spec and select endpoints to convert into tools.

2

Configure Authentication and Authorization

Choose passthrough authentication or configure an OAuth 2.1 provider.

3

Deploy Your MCP Server

Choose a fully-managed deployment in the Cequence Cloud or manage it yourself and deploy with Helm Chart.

Optional: Configure UAP Protection

With a single click, have Cequence UAP secure your applications and APIs against threats. Customize security settings based on your specific needs and compliance requirements.

Frequently Asked Questions

What is an AI Gateway?
An AI Gateway is a secure infrastructure layer that bridges the gap between AI agents and enterprise applications. It acts as a universal translator, converting requests from AI models into native API calls that your business systems—like CRMs, development tools, and internal databases—can understand and execute. By managing the interaction between agents and APIs, an AI Gateway allows organizations to move AI initiatives from experimental prototypes to secure, production-ready assets.
An AI Gateway works as a secure bridge that translates an AI agent’s requests into the technical API commands your business systems understand. When an agent wants to perform a task, the gateway first verifies its identity through your existing security providers to ensure it has permission to access that data. It then applies real- time guardrails to block malicious activity or unauthorized actions before safely executing the command within your applications. Throughout this process, the gateway creates a clear audit trail, giving you full visibility and control over exactly how AI agents are interacting with your internal and external tools.
The features of AI Gateway are designed to provide the security, connectivity, and visibility necessary to move AI agents into production. Key capabilities include:
  • Native MCP Support: Model Context Protocol (MCP) acts as a universal translator, allowing AI agents to communicate seamlessly with diverse enterprise applications without custom coding.
  • Automated Tool Discovery: By simply uploading OpenAPI specifications, AI Gateway automatically transforms traditional APIs into “agent-ready” tools that AI models can instantly understand and use.
  • Identity and Access Governance: AI Gateway integrates with standard Identity Providers (IdP) using OAuth 2.0 to map agent identities to specific permissions, ensuring AI agents only access authorized systems and data.
  • Agent Personas: Agent Personas enable users to describe, in plain English, a job description for an agent. The AI Gateway will then ensure that the agent only has access to the tools it needs to do its job and doesn’t stray from its job description. This not only makes agents much safer to use, but also makes them perform better.
  • Advanced Security Guardrails: AI Gateway applies real-time protections and context-aware policies to block prompt injections and business logic abuse.
  • Indelible Audit Trails: AI Gateway provides a centralized, real-time view of all AI-to-API traffic, offering a complete record of which agents are accessing which systems and exactly what actions they are taking.
  • Enterprise-Grade Scalability: Built for high-performance environments, AI Gateway supports horizontal scaling and flexible deployment options, including managed SaaS or private cloud environments to meet data residency requirements.

AI Gateway is designed for broad compatibility, providing native support for Model Context Protocol (MCP) to connect a wide variety of AI agents with enterprise applications. It’s built to be flexible, allowing for manual integration with virtually any LLM or agentic tool your organization utilizes. By acting as a universal translator, it enables these agents to securely interact with a catalog of over 140 enterprise applications, such as Salesforce, Jira, Slack, and Confluence, as well as any internal or custom-built APIs.

The AI Gateway secures agentic AI by serving as a centralized management hub that enforces consistent security policies and governance across all AI-to-application interactions. This approach prevents common risks like rogue MCP servers and unauthorized data access by providing a trusted registry of vetted endpoints. To ensure robust compliance and identity management, the gateway integrates directly with OAuth 2.0-compliant identity providers. This enables granular authentication and authorization, ensuring only authorized agents and users can access specific systems and data. Features like session binding protection further enhance security by locking authenticated sessions to originating IP addresses, effectively preventing token theft and unauthorized reuse. Continuous visibility is maintained through built-in monitoring and audit logging, which tracks every agent-API interaction. This detailed visibility allows security teams to identify suspicious patterns, prevent business logic abuse, and ensure that AI agents operate within established organizational bounds.

AI Gateway is designed for rapid deployment, allowing organizations to make enterprise applications agent-ready in just a few minutes. Its no-code approach simplifies the process of converting existing internal, external, or SaaS APIs into tools compatible with the Model Context Protocol (MCP). By removing the need for extensive coding or developer up-skilling, teams can transition from initial setup to operational status with just a few clicks.

AI Gateway is built on a SaaS-based, cloud-hosted architecture specifically engineered to support the scalability and performance requirements of the world’s largest organizations. This infrastructure allows the gateway to handle high-throughput applications through horizontal scaling, ensuring that as your volume of AI-to-application interactions grows, the system maintains consistent reliability and low-latency performance. AI Gateway can also be deployed on-premises if desired.

AI Gateway utilizes the Model Context Protocol (MCP) as a universal translation layer that bridges the gap between AI agents and enterprise applications. By adopting this open standard, AI Gateway acts as a standardized way for agents to discover and interact with external data sources and tools at runtime. This eliminates the need for manual coding or custom integrations for every new AI-to-application connection.

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