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Risk Management
AI Security
& Governance
Stop shadow AI before it becomes a data breach. All IT implements Microsoft Purview, DLP, and an AI governance framework that lets your teams use AI productively - with full visibility and Privacy Act compliance.
Quick Definition
What is AI Governance?
A framework of policies, controls, and monitoring tools that enables your organisation to adopt AI safely - preventing sensitive data from being exposed through unauthorised use of tools like ChatGPT, Claude, and Copilot.
The Problem
Shadow AI is the silent risk in your organisation
"Many employees already use AI tools - often without IT oversight. Some paste confidential client data. Others train models on proprietary code."
AI governance frameworks establish policies, controls, and monitoring that protect your organisation while enabling teams to leverage AI tools safely. We implement Microsoft Purview, Data Loss Prevention (DLP), audit logging, employee training, and approved tool whitelisting - giving you complete oversight of how AI is used across your business.
The result? Your teams use AI productively, sensitive data stays protected, and you maintain compliance with the Privacy Act, industry regulations, and client agreements. Control AI risk while capturing every bit of the upside.
Companies with AI governance frameworks move faster than those fighting shadow AI chaos. Approved tools integrate seamlessly into workflows. Governance becomes a competitive advantage, not a constraint.
Visibility. Control. Confidence. Know exactly what AI tools are in use across your organisation - prevent data leaks before they happen and maintain full compliance with regulatory obligations.
Our Process
How We Implement AI Governance
01
Shadow AI Assessment
We discover what AI tools are in use across your organisation, where data is flowing, and what compliance risks exist today. We baseline your current state before implementing any controls - because you can't govern what you can't see.
02
Policy Development
We draft AI use policies aligned with the Privacy Act, your industry regulations, and existing client contracts. We define approved tools, prohibited activities, and clear guardrails - so there's no ambiguity about what your team can and cannot do.
03
Control Implementation
We deploy DLP, Purview, monitoring tools, and whitelisting configurations. Controls are set up to enforce your policies automatically - reducing reliance on human diligence and catching violations at the point of action.
04
Employee Training
We teach your team why AI governance matters and show them exactly which tools they can use and how to use them safely. Compliance becomes intuitive rather than a burden - and employees become your first line of defence, not your biggest risk.
05
Ongoing Monitoring
We continuously monitor for shadow AI, policy violations, and data exposure attempts across your environment. Monthly compliance reports keep leadership informed, and policies are adjusted as new AI tools emerge in the market.
What We Deploy
Our AI Governance Toolkit
Comprehensive controls across people, process, and technology - built on Microsoft's enterprise compliance stack.
Shadow AI Detection
Discover what AI tools employees are using across your network. Monitor cloud storage, email, and browser traffic for shadow AI usage. Understand your full risk surface before you can control it.
Tool Whitelisting
Approve specific AI tools such as Claude, Copilot, and ChatGPT Enterprise. Unapproved tools are blocked or monitored. Employees know exactly which tools they can use - no guesswork, no grey areas.
Data Loss Prevention (DLP)
Block attempts to paste sensitive data - PII, financial records, source code, health information - into AI tools. Controls apply at the point of action, so employees cannot leak data they cannot paste.
Microsoft Purview
Unified compliance and governance across the entire Microsoft 365 environment. Classify data, apply retention policies, monitor AI use within Microsoft tools, and maintain full audit trails for regulatory reviews.
Audit Logging & Monitoring
Track who used what tools, when, and what data they accessed. Detect anomalies in real time. Generate compliance reports on demand. Full visibility for investigations, audits, and incident response.
Employee Training
Clear policies and practical training prevent accidents before they happen. Employees understand why governance exists, learn to use approved tools responsibly, and compliance becomes part of your culture.
Risk Reduction & Compliance Outcomes
Lower
Risk
Eliminate shadow AI. Control data exposure. Reduce compliance violations and breach probability dramatically across your organisation.
Full
Visibility
See every AI tool in use across your organisation. Monitor all data flows. No more shadow practices hidden from leadership or IT.
Full
Compliance
Meet Privacy Act requirements. Satisfy client contracts. Pass audits. AI use aligned with your regulatory obligations and industry standards.
Faster
Incident Response
If a breach occurs, audit logs enable rapid investigation. Determine what was exposed, when, and to whom - in minutes, not days.
Common Questions
Frequently Asked Questions
Won't governance slow down our teams?
No. Good governance is enablement. Approved tools integrate into existing workflows seamlessly. Over time, governance makes work faster because teams aren't wasting time on unapproved tools or managing incidents caused by shadow AI.
How do we know what tools employees are using?
We deploy shadow AI detection tools that monitor network traffic, cloud storage, email, and browser activity for unapproved AI access. The assessment typically reveals surprises - tools you didn't know were being used.
Can we approve Claude, ChatGPT, and Copilot?
Yes. We can whitelist approved tools and configure them for safe use. Enterprise versions include better privacy controls. We audit terms of service and recommend which tier makes sense for your risk profile.
What data does DLP actually protect?
DLP blocks attempts to copy PII (names, emails, phone numbers), financial records, source code, health information, and custom data types you define. Employees can still use AI tools - they just cannot paste sensitive data into them.
How much does AI governance cost?
Assessment and policy development typically costs $8,000-$15,000. Control implementation adds $15,000-$40,000 depending on complexity. Annual monitoring runs $5,000-$10,000. Most organisations break even by avoiding a single data breach or Privacy Act violation.
Is governance auditable for compliance reviews?
Yes. We generate audit reports showing approved policies, tools, deployed controls, and monitoring in place. For Privacy Act reviews, SOC 2 audits, or client audits, you have documented governance proving you took all reasonable steps.
Ready to get started?
Take control of AI risk today
Shadow AI won't disappear on its own. A governance framework makes it visible, controllable, and compliant - so your teams can use AI safely and your organisation stays protected.
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