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Governance and Security

Set the Rules Before AI Starts Making Decisions
Your teams want Copilot, agents, and faster access to business knowledge. Your IT and governance team want to know who can access what, and what an agent should never touch.

We help you put the controls in place so AI can move quickly without becoming the thing that exposes your data. You move forward. Nobody has to clean up after it.
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82%

of leaders cite leakage of sensitive data as their top AI concern

91%

of organizations prioritizing AI don’t feel “very prepared” to do so responsibly

79%

of organizations don’t have a mature governance model for autonomous AI agents

Your Data Was Always Exposed. AI Just Made It Reachable.

AI removes the friction. Point an assistant or agent at your data and it can surface a sensitive file in seconds, summarize it, and push it into a workflow it was never meant to reach. The exposure was always there. AI just made it fast. And it isn't only people reaching for your data now. It's agents your teams build, buy, and sometimes spin up without telling anyone.

So most teams land on the same questions:
Who can actually see our sensitive data?
What's classified, labelled, or protected, and what isn't?
Which agents exist across the tenant (built, bought, or shadow) and who owns each one?
Do those agents have a managed identity and least-privilege access, or broad permissions nobody's reviewed?
How do we keep on top of all this as it changes?
Where are people oversharing?
None of this is about slowing AI down. It's about making it safe enough to scale.

Safe AI Starts With Your Data and the Agents That Act on It

Before Copilot or agents can safely move through your business, two layers need to be in place: a trusted data foundation, and governed agents that operate on top of it. We put both in place, using the Microsoft controls you already own.

What AI Agents Can See

Data Governance

Before AI can use your data, you need to know what it is, where it lives, who owns it, and whether it can be trusted. We help you map the estate, define ownership, improve quality, and create a governance model that gives AI something solid to work from.

Data Security

Once you know what you have, you need to control what people, apps, Copilot, and agents can do with it. We help you apply the right labels, permissions, DLP policies, and access controls, so sensitive information stays protected as AI starts moving through the business.

What AI Agents Can Do

Agent Governance

We give every agent a managed identity, a clear owner, and a lifecycle: who can create one, how it's approved, when its access is reviewed, and when it's retired. No more shadow agents operating without oversight.

Agent Security

We use least-privilege access. We control which data and connectors each agent can access. We also monitor for any compromised or misbehaving agents. This way, autonomous AI stays secure and doesn't turn into an unmanaged attack surface.

One control plane, both layers. Both are enforced through the same Microsoft tooling (Microsoft Purview for data security and compliance, Microsoft Entra for identity and access, Microsoft Defender for threat protection) extended across your data and every agent. One control plane, not a new silo to build and babysit.

Govern Agents the Way You Already Govern People

A landing zone is a pre-governed environment that new workloads deploy into, so identity, security, and policy are built in from the start rather than bolted on afterwards. We apply the same idea to agents.

In a Rockhop AI Landing Zone, an agent inherits its guardrails the moment it's published. It doesn't matter whether someone built it in Copilot Studio, deployed it through Microsoft 365 Copilot, wrote it in Foundry, or bought it from a third party. Same identity. Same policy. Same audit trail.

Three Planes:

Appreciation Plane 

Where agents are built, published, and orchestrated for your people. The agent gateway, the agent runtimes, and the orchestration between them.

Central Governance Hub

The control plane that registers, secures, and oversees every agent. Microsoft Agent 365, with Entra for identity, Purview for data security, Defender for threat protection, and a registry of the connectors, APIs, and models agents are allowed to use.

Legacy System Integration

Not everything has an API. Robotic Process Automation (RPA) allows us to automate tasks with older applications that weren’t designed for integration. This means older systems won’t limit our possibilities.

How We Get You There

1. Discover

Workshops and solution validation tailored to your organization. We inquire, listen and understand where you are, what’s at risk, and what’s possible.

2. Assess

Strategic alignment of IT and business goals, with prioritization of AI use cases, data gaps, and governance requirements.

3. Prepare

Roadmap development and stakeholder engagement to ensure your organization is ready to build, not just to plan.

The Governance Journey

Good governance isn’t a one-time audit. It’s an ongoing discipline. We help organizations build the structures, habits, and controls that keep AI initiatives secure and accountable as they scale.

A Center of Excellence with real ownership of AI standards, not just an advisory function that meets quarterly

Metrics that tell you whether governance is working, not just whether it exists

Access and compliance controls designed around how your business actually operates rather than a generic framework

Monitoring that surfaces problems early, before they become incidents

Where to Start

Structured engagements for organizations that want to take AI governance seriously from day one.

Executive Immersion: 
The Well-Architected AI Agent

Align your leadership team on why agent architecture matters - the risks, the controls, and the ROI. This immersion covers security and governance, operational resilience, performance and scalability, and human-in-the-loop design, with a live demo of an orchestrator and SME agents published to Microsoft 365.

Copilot Studio Governance & Compliance Framework

Rolling out Copilot Studio without a governance plan creates risk your security team will have to clean up later. This workshop assesses your current environment, defines roles and permissions, and puts the right compliance controls and operational playbook in place before problems arise.

AI Data Readiness Assessment

AI is only as good as the data behind it. This assessment identifies gaps across your data architecture, governance, and operating model so you know exactly what needs fixing before you scale.

Built on the Microsoft Platform

Our work runs entirely within the Microsoft ecosystem you’re already invested in. Your agents, data pipelines, and governance controls are part of your current environment. You won't need to manage a separate tool stack.

Power Platform provides the connective tissue: workflows, surfaces, and integrations that link your agents to the rest of your business operations. As a Microsoft Solutions Partner across four designations and SOC 2 certified, we bring the credentials to back it up.

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Ready to Build AI on a Foundation That Holds?

Talk to a Rockhop expert about where your organization stands, and what it would take to get AI initiatives that are secure, governed, and built to scale.

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Strategy & Governance FAQs

Do we need an AI strategy before working with you?
No. In fact, most clients come to us precisely because they don't have one yet. We help you build it.
How do you ensure governance and security don't get in the way of productivity?
This is one of the most common concerns we hear. Our view is that governance is a dial, not a switch. The goal isn't to lock everything down, it's to make sure the productivity gains you're chasing are appropriately protected. We spend time understanding your risk tolerance, we're clear about the known risks, and we help you find the right balance for your organization.
What AI risks are you helping organizations manage?
Data exposure, compliance gaps, ungoverned agent behaviour, and the absence of clear accountability when something goes wrong. These aren't hypothetical - we've seen all of them.
Do you only work with organizations using Microsoft?
Primarily yes. Our expertise is deep in the Microsoft ecosystem - Copilot Studio, Fabric, Power Platform, Azure. If that's your environment, we're well placed to help.
Do you help implement AI solutions as well, or just the strategy?
Both. Strategy without implementation is just a document. We stay involved through delivery and beyond.
How long does an engagement typically take?
It depends on scope, but most strategy and governance engagements run between three and eight weeks. We can also start with a focused workshop if you want to test the working relationship first.
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