Govern every place AI is used — not just the agents you built.

Generative AI governance is the practice of controlling how AI is used across your organization: who uses it, what data reaches it, and what record proves it. The hard part isn’t your own agents — it’s the browser ChatGPT session your tools never see. Here is what real coverage looks like, and how to get it.

What is generative AI governance?

It is the set of controls that keep generative AI’s inputs and outputs inside policy — combining visibility into AI usage, real-time control over what data may reach a model, and signed evidence of every decision. Done well, it covers every surface AI appears on, and it produces proof an auditor can cite.

The four pillars

Visibility, control, evidence, coverage.

Visibility

Know which AI tools your people actually use — including the consumer ChatGPT, Claude, and Gemini sessions that never touch a sanctioned API.

Control

Decide, in real time, what data is allowed to reach a model and what the model is allowed to say back: pass clean traffic, mask sensitive values out of a prompt, correct a problematic response in place, or block a policy violation before it leaves your network.

Evidence

Produce a signed, queryable record of every decision — vendor, category, severity, verdict, timestamp — without retaining the cleartext that becomes its own liability.

Coverage

Apply one policy everywhere AI shows up: the browser, desktop apps, AI inside your SaaS tools, and your own agents — not just the surface you happened to build a proxy for.

Every surface, one policy

Governance has to reach where AI actually lives.

✓

Browser AI

chatgpt.com, claude.ai, gemini — the consumer tabs your DLP can’t read.

✓

Desktop AI apps

The native ChatGPT and Claude apps whose traffic still flows through the gateway.

✓

AI inside your tools

Copilots and assistants embedded in the SaaS your team already runs.

✓

AI agents & API

Programmatic traffic governed by the same brain via the Trinitite proxy and MCP.

Trinitite delivers this through Universal AI Governance: real-time ingest of AI input and output via your Secure Web Gateway — or the Trinitite-hosted AI gateway — returning a pass, correct, mask, or block verdict inline, with nothing installed on endpoints.

FAQ

Generative AI governance, answered

What is generative AI governance?

Generative AI governance is the practice of controlling how generative AI is used across an organization — what data may reach a model, what the model is allowed to do, and what record proves it. Effective governance gives you visibility into AI usage, real-time control over inputs and outputs (pass, correct, mask, or block), and signed evidence of every decision — across the browser, desktop, embedded AI, and your own agents, not just one surface.

Why isn’t governing AI agents enough?

Most AI governance only reaches the agents you built a proxy in front of. But the largest exposure is usually an employee pasting customer data or source code into consumer ChatGPT in a browser — a surface a proxy never sees. Real generative AI governance has to cover every place AI is used, which means inspecting the AI traffic itself, not just instrumenting your own code.

How do you govern AI without installing software on every device?

By inspecting AI traffic at the gateway it already flows through. A Secure Web Gateway (Zscaler, Cisco, Netskope) — or the Trinitite-hosted AI gateway — forwards AI-bound traffic to Trinitite for a verdict over a standard protocol (ICAP). There is no endpoint agent and no browser extension, so it works across every browser and operating system.

Does generative AI governance mean blocking ChatGPT?

No. Blocking AI outright just pushes employees to route around it. The goal is to allow AI and govern the inputs — let clean prompts through, mask sensitive values, correct problematic responses in place, and block only genuine policy violations. You keep the productivity and keep control of what goes into the model.

How does Trinitite deliver generative AI governance?

Through Universal AI Governance — real-time SWG/ICAP ingest that returns a pass, correct, mask, or block verdict inline on every prompt and reply, with nothing installed on endpoints and no cleartext stored. Pair it with Shadow AI Inventory for read-only detection.

See generative AI governance that covers every surface.

From the browser ChatGPT session to your production agents — one policy, a pass / correct / mask / block verdict on every prompt and response, and a signed trail with no cleartext stored.

Trinitite

AI governance that catches mistakes, proves compliance, and shows the board what it saved—in dollars.

Trinitite is built by Fiscus Flows, Inc.

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