Your employees are handing real work to AI agents with real access to internal apps, data, and systems. Cequence puts a behavioral containment boundary around every one of them.
Most tools describe what an agent should do. Cequence verifies what it is actually doing, for the full session, and contains it the moment it steps outside what its person is allowed. The capability that makes an agent a great employee makes it the most powerful insider you have ever onboarded.
Every agent inherits a strict subset of its person's permissions, never more.
A live record of what every agent is doing across your systems.
Step out of bounds and the agent is constrained in real time.
An agent is not a tool to authorize one call at a time. It is an insider, and Cequence governs it two ways.
You write the agent's job in plain language. Cequence compiles it into a deterministic guardrail, bounded by the person's own access. Not hand-built rules. Not a content filter.
Cequence judges the agent on what it does, for the full session, and catches the first action off its job. No warm-up, even when every call was authorized.
Token isolation and per-call authorization are table stakes. They are the floor, not the difference.
A standard gateway authorizes the call. Cequence governs the agent.
| Capability | Why it matters | Standard AI gateway | Cequence AI Gateway |
|---|---|---|---|
| What it connects and sees | |||
| AI and API discovery | You cannot govern what was never registered. Agents reach shadow models, APIs, and MCP endpoints. | Catalogs only what is registered. No discovery of the existing estate. | Discovers the full estate, including shadow MCP and APIs |
| Proxy MCP tool calls | MCP is the most common agent channel; every call should pass one control point. | Yes | Yes |
| Trusted MCP registry | Agents should reach only vetted MCP servers, with an audit trail. | Yes | Yes |
| Proxy direct API calls | Agents call your APIs directly, not only through MCP. That path needs governing. | No. Specs are converted to MCP. | Yes |
| Governed API registry | Code-writing agents build against API specs. One token, one registry keeps that in bounds. | No | Yes |
| Multi-model LLM routing | Routing and cost control across models is a platform-team need, not a security control. | Yes | No. Cequence is not an LLM proxy. |
| Governing the agent as an insider | |||
| Agent Persona (the guardrail) | An agent needs a boundary written from its job, one that holds when the model does not. | No concept of a job | Deterministic guardrail compiled from the agent's plain-language job |
| Least-privilege scoping | Scoped access without hand-built policy for every agent. | Manually enumerated per tool, maintained by hand | Derived from the job, a strict subset of the person's access |
| Behavioral Identity | Authentication passing does not mean the agent is behaving. Judge the actor, not just the call. | No baseline | Judges the agent against its job, for the full session |
| Rogue agent with valid access | The breach that matters trips no alarm, because every action is authorized. | Missed. Every call was authorized. | Caught on the first off-job action |
| Detection baseline | Agents have no warm-up window. Detection has to start at action one. | None. Built to forward tool calls. | The job. Live from action one. |
| Data protection | |||
| Sensitive-data detection | Sensitive data moves on every channel; pattern matching alone misses most of it. | Basic regex, on the MCP hook only | Contextual DLP across every channel |
| Coverage across tool calls | Data leaks across a sequence of calls, not in one. A single-hook redaction fails the audit. | One call at a time on the MCP hook, no memory | Taints and tracks sensitive data across an agent's tool calls |
| Response action | Detection is not enough if you cannot act inline. | Detect or block, MCP hook only | Detect, block, or redact in place, request and response |
| Enterprise | |||
| Secure self-service rollout | Security cannot sit in the path of every rollout without becoming the bottleneck. | Security must approve each agent; builders wait in the queue | Security sets policy once; technical and non-security builders ship without approvals |
| Tool-level audit trail | Every tool call should be attributable. | Yes | Yes |
| Agent-level audit trail | Attribute behavior to the agent and its person, not just the call. | No | Yes |
| SIEM integration | Findings belong in the tools your SOC already runs. | Yes | Yes |
| Latency | Inline enforcement should disappear into the latency the workflow already pays. | Sub 10 ms | Sub 10 ms |
| High availability | Enforcement in the request path must not be a single point of failure. | Single region | Multi-region, active-active |
| Industry recognition | |||
| Co-author of the CIS Controls AI companion guides (LLM, Agent, and MCP). Named reference implementation in independent agentic zero-trust research, with independent convergence on the same architecture. Co-chair of TM Forum's AI-Native Blueprints, leading Agentic Interaction Security. | |||
When one agent persona ran with blocking disabled, it generated 2.5 million tool calls in 47 hours. Cequence produced the audit trail and the root-cause analysis.
Governance is not a brake on agentic AI. It is what lets you run it at full speed, knowing you can see and contain every agent.
Discovery first: most teams start by simply seeing what agents are already running, then put them under control.
Scope each agent to a strict subset of what its person is allowed to do, never more.
See every agent and every action across internal apps, data, and systems, in one place.
Block or constrain an agent the moment it steps out of bounds. Cequence AI Gateway is the in-path enforcement point.
Govern which tools and MCP servers agents may use, with an audit trail for compliance.
The first step is visibility. We will show you every agent already operating across your apps, data, and systems, then help you put it under control.
Cequence secures and governs how humans, bots, and AI agents interact with enterprise applications and data, extending zero trust from identity to action.