PROBLEM

A policy in a document protects no one.

Plenty of enterprises have a responsible AI policy. It lives in a slide deck and a PDF. It is signed off, filed, and ignored by the model the moment it goes live. That is PowerPoint Governance: rules that exist on paper and nowhere in the system that actually answers your customers.

The gap shows up in production. The model that passed every test starts drifting. The agent that looked compliant in the demo takes an action nobody approved. The output that should have been blocked goes straight to a customer, because nothing was watching at the moment it mattered.

Protect & Enforce is the second layer of AI Assurance. It takes the policy out of the document and puts it inside the live system, where it can actually stop something.

CAPABILITIES

Runtime AI guardrails

Guardrails that run on every output, in real time.

Before a response reaches a customer, it passes through your guardrails. Outputs that breach policy, leak data, or cross a safety line are caught and blocked at the moment of generation, not flagged in a report you read the next morning.

This is enforcement at the point of action. The bad output never leaves the building.

Policy enforcement

Your rules, applied automatically and consistently.

Define what your AI is allowed to do and what it is not, then enforce it at runtime across every interaction. The same standard, every time, with no reliance on the model remembering its instructions or a human catching the exception.

Policy stops being a statement of intent and becomes a control that holds.

Agentic AI monitoring and drift detection

Agents that look governed are not the same as agents that are.

Agentic Theatre is what happens when an AI agent appears to follow the rules while quietly doing something else. Protect & Enforce watches what your agents actually do, step by step, and catches the moment behaviour starts to drift from what you approved.

Agentic observability is configurable and keeps a rolling view of the last 30 days. Every span gets real-time input validation in production, with toxicity scoring on live conversations and topic-adherence drift detection running underneath.

When a model's outputs shift over time, you know. When an agent takes a path it should not, you catch it. Drift detection means the slow, silent degradation that breaks AI systems gets surfaced while you can still act on it.

Explainability

Every decision, accountable.

When your AI makes a call, you need to understand why, especially when a customer disputes it or a regulator asks. Explainability gives you a clear account of how an output was produced and which controls applied, so a real-time block or decision is never a black box.

DIFFERENTIATION

One platform, not a stack of point tools

Most enterprises bolt protection on after the fact. A guardrail vendor here, a monitoring tool there, a policy spreadsheet somewhere else. None of them talk to each other, and the gaps between them are where things break.

Disseqt is the only unified AI assurance platform covering testing, monitoring, policy, audit, and compliance in one place. The guardrails enforcing your policy in production are connected to the tests that found the risk and the evidence that proves you handled it.

You do not have to choose between observability and governance. Protect & Enforce gives you both, in one system.

HOW IT WORKS

Four steps from policy to live enforcement.

1. Define the policy. Set what your AI is allowed to do, what it must never do, and the safety lines it cannot cross. These become live controls, not a document.

2. Validate every input and output. Per-span input validation runs in real time, and runtime guardrails check every output at sub-50ms before it reaches a customer.

3. Block and enforce at the moment of action. Outputs that breach policy, leak data, or cross a safety line are caught and stopped at generation, not flagged the next morning.

4. Watch the agents. Configurable agentic observability tracks behaviour over a rolling 30 days, with drift detection and toxicity scoring on live conversations, so you catch Agentic Theatre as it starts.

OBJECTIONS

"Won't a guardrail slow our model down?" Guardrails run inline at sub-50ms, built for production traffic. ML validators do the checking, not a slow judge model, so enforcement keeps pace with your AI instead of throttling it.

"Isn't this just monitoring?" Monitoring tells you something happened. Protect & Enforce stops it from happening. It validates every input and output in real time and blocks the bad ones at the moment of action.

"We already have a GRC platform." GRC platforms govern people and process. They do not sit inline on your model's outputs or watch what an agent actually does, step by step. Protect & Enforce is the control layer GRC cannot reach, and it connects to your testing and your audit evidence in one place.

WHO THIS IS FOR

Built for the teams accountable for AI in production.

• Enterprise IT and engineering teams running live AI who need policy enforced in the system, not the slide deck.

• FCA and SEC-regulated financial services where a single uncontrolled output is a reportable event.

• Global systems integrators and IT consulting partners standing up governed AI for the enterprises they serve.

THE CATEGORY

This is AI Assurance, a new category.

It is not GRC, which governs process but never touches the model. It is not monitoring on its own, which watches but cannot stop. AI Assurance sits between the application layer and your enterprise governance function, and Protect & Enforce is the part that acts.

Legacy GRC platforms and point tools cannot enforce inline on live AI. Disseqt can, as one pillar of a unified platform.

ONE PLATFORM, THREE PILLARS

Protect & Enforce is the second pillar in the AI Assurance Lifecycle. It stops problems in production.

It sits between the other two. Test & Detect finds the failures before launch. Prove & Comply turns every block, decision, and control into audit-ready evidence regulators accept.

Together they cover the full lifecycle, in one platform, with one source of truth