Responsible AI

Adopting AI without losing control of it.

Every organization is adopting AI faster than it's governing it. Ascent helps you set the guardrails: policy, data governance, and human oversight, so adoption doesn't outrun accountability.

Talk to Us About AI Governance

AI adoption doesn't wait for a policy to exist.

An employee pastes customer data into a public AI tool because there's no approved alternative, and no policy telling them not to.

A team adopts Copilot Studio or a third-party AI product on their own, with access scoped by whoever set it up fastest, not by anyone accountable for the risk.

Leadership wants to move faster on AI, but nobody's defined what "responsible" actually means for this organization, so every team is answering that question differently, on their own.

What a real AI governance framework includes.

An AI usage policy your teams will actually follow

People adopt AI fast, and often without asking first. This is written for that reality, not for a policy that only works if everyone reads the handbook.

Data guardrails built on Purview

The same Microsoft data governance you already own, configured so sensitive data can't casually flow into an AI tool that wasn't vetted.

A human-in-the-loop model

Clear rules for which AI-assisted decisions need a person to sign off, and which don't, so oversight scales without becoming a bottleneck.

An accountable owner for AI risk

One person or team who owns the answer to "is this AI use approved," instead of that question landing on whoever asks first.

A rollout your teams are part of

Training and change management so the policy lands as guidance people use, not a memo they ignore.

A framework that keeps up

Built to be revisited as new AI tools and agents show up, not written once and left alone.

Not sure where you stand today?

Start with the Agentic Security Assessment.

Find every AI agent already running in your environment first: official, shadow, and local. Then build the governance framework around what you actually have.

Explore the Assessment

Frequently asked questions.

How is this different from the Agentic Security Assessment?

The Agentic Security Assessment finds every AI agent already running in your environment and scores the risk. This is what you build next, or alongside it, so new agents and AI tools get adopted inside a real framework instead of the same way the ones you just found were.

Do we need to already have an AI policy in place?

No. Most organizations Ascent works with don't. That's usually the starting point, not a prerequisite.

Is this only about blocking AI tools?

No. The goal is enabling AI adoption safely, not slowing it down. A policy nobody can work within just gets ignored, which is its own risk.

Who inside our organization is this for?

It's built as a joint effort between security/IT leadership and the business teams adopting AI day to day. Both need to be in the room for the policy to hold up in practice.

Let's set the guardrails before you need them.

A working session on where your AI adoption actually stands, and what a governance framework looks like for your organization.

Talk to Us About AI Governance