AI Governance & Secure Integration
Your staff are already using AI — ChatGPT, Copilot, Gemini — whether there’s a policy in place or not. The risk isn’t AI itself, it’s ungoverned AI: sensitive data pasted into public tools, no visibility into what’s being used, and enterprise systems connected to language models with no control over what that connection can actually reach. We put structure around AI adoption and put a Zero Trust gateway around every integration, so you get the productivity without losing control of your data.
AI usage governance
Before locking anything down, you need to know what’s actually happening. We help you establish a practical AI usage policy — which tools are approved, what data can and can’t be shared with them, and how staff are trained to use AI safely — backed by visibility into the AI tools actually being used across your business, not just the ones you’ve officially sanctioned.
- An AI usage policy your staff can actually follow, not a document that sits unread in a drawer
- Visibility into shadow AI — the tools being used without IT’s knowledge or approval
- Data handling rules for what can and can’t be pasted into public AI tools
- Staff training on safe AI use, tailored to the tools your business actually relies on
- A clear approval path for new AI tools, so adoption doesn’t have to mean going around IT
Connecting enterprise apps to LLMs, safely
The real value of AI comes from connecting it to your actual business data — your CRM, your files, your helpdesk — not just using it as a standalone chatbot. That’s also exactly where the risk shows up: a broad, all-access integration between an AI platform and a core business system is a single point of failure waiting to happen. We architect these integrations properly, scoped to exactly what each AI workflow needs and nothing more.
The common approach
A single API key or service account with broad, standing access, shared across every AI workflow that needs it — hard to audit, hard to revoke, and a single compromised credential away from exposing everything it touches.
Our approach
Every enterprise app connected to an LLM or AI agent sits behind a Zero Trust gateway — scoped, authenticated, and logged per request, so each integration only ever reaches the exact data it was built to reach.
How the Zero Trust gateway works
Rather than handing an AI platform a standing key to your enterprise systems, every request passes through a gateway that authenticates and authorises it individually — the same zero trust principle applied to APIs and agents instead of just people.
AI Platform / Agent
An LLM, Copilot, or AI agent requests data or an action from an enterprise system
Zero Trust Gateway
Every request verified, scoped to least privilege, and logged — no standing access, no exceptions
Enterprise App
Microsoft 365, CRM, file storage, or helpdesk — reached only within its approved scope
- Every AI-to-system request authenticated individually, not covered by a standing blanket credential
- Least-privilege scoping, so an integration built for one workflow can’t reach unrelated data
- Full audit logging of what an AI platform accessed, when, and on whose behalf
- Instant revocation of a single integration’s access without disrupting every other connected workflow
Why this matters
AI adoption is happening with or without a strategy behind it. The difference between a business that benefits from AI and one that gets burned by it usually isn’t the AI tools themselves — it’s whether anyone put governance and access control around them before, not after, something goes wrong.
A note on scope: this service covers AI usage governance and the security architecture for connecting enterprise systems to AI platforms. It isn’t one of the eight named ACSC Essential Eight strategies, so we don’t apply an Essential Eight badge to this service.
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