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Risk Management
AI Security & Governance
AI security and governance is 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. It typically includes Microsoft Purview configuration, data loss prevention (DLP) rules, approved tool whitelisting, audit logging, and staff training to balance productivity with regulatory compliance.
Book an AI Strategy Session68%
Use Unapproved AI
90%
Risk Reduction
Full
Compliance
What is AI Security & Governance?
Shadow AI is the silent risk every organisation faces. Studies show 68% of employees use AI tools—ChatGPT, Claude, Copilot—without IT oversight. Some paste confidential client data. Others train models on proprietary code. Data leaks, compliance violations, and IP exposure follow.
AI governance frameworks establish policies, controls, and monitoring that protect your organisation while enabling teams to leverage AI safely. We implement Microsoft Purview, Data Loss Prevention (DLP), audit logging, employee training, and approved tool whitelisting.
The result? Your teams use AI productively, sensitive data stays protected, and you maintain compliance with Privacy Act, industry regulations, and client agreements. Control risk while capturing AI’s upside.
🛡️
Visibility, control, and confidence. Know what AI is being used. Prevent data leaks. Stay compliant.
Why AI Governance Is Urgent
Shadow AI Is Widespread
68% of your employees use AI tools today—many without permission. They’re pasting client data, code, financial information into public AI tools. Your data is being ingested into training models you don’t control.
Compliance & Liability Risk
Australian Privacy Act violations carry penalties up to $50 million or 30% of turnover. Client contracts prohibit sharing data with unapproved third parties. One data leak costs more than a governance program.
Empower Teams Safely
Governance isn’t about banning AI. It’s about controlling risk while enabling productivity. Approved tools, clear guidelines, and employee training let your team use AI effectively while protecting the organisation.
Competitive Advantage
Companies with AI governance frameworks move faster than those fighting shadow AI chaos. Your teams use approved, integrated tools seamlessly. Governance wins in the market.
Our AI Governance Toolkit
We implement comprehensive controls across people, process, and technology.
Shadow AI Detection
Discover what AI tools employees are using. Monitor cloud storage, email, and network traffic for shadow AI usage. Understand your risk surface before controlling it.
Tool Whitelisting
Approve specific AI tools (Claude, Copilot, etc.). Unapproved tools are blocked or monitored. Employees know exactly what they can use.
Data Loss Prevention (DLP)
Block attempts to paste sensitive data (PII, financial records, source code) into AI tools. Controls apply at the point of action—employees can’t leak what they can’t paste.
Microsoft Purview
Unified compliance and governance across M365. Classify data. Apply retention policies. Monitor AI use within Microsoft tools. Maintain audit trails.
Audit Logging & Monitoring
Track who used what tools, when, and what data they accessed. Detect anomalies. Generate compliance reports. Full visibility for investigations and audits.
Employee Training
Clear policies and training prevent accidents. Employees understand why governance exists. They learn to use approved tools responsibly. Compliance becomes culture.
Risk Reduction & Compliance Outcomes
90%
Risk Reduction
Eliminate shadow AI. Control data exposure. Reduce compliance violations and breach probability dramatically.
100%
Visibility
See all AI tools in use. Monitor data flows. Understand risk. No more shadow practices hidden from leadership.
Full
Compliance
Meet Privacy Act requirements. Satisfy client contracts. Pass audits. AI use aligns with your obligations.
Faster
Incident Response
If a breach occurs, audit logs enable rapid investigation. Determine what was exposed, when, and to whom.
How We Implement AI Governance
1
Shadow AI Assessment
We discover what AI tools are in use, where data is flowing, and what compliance risks exist. Baseline your current state before implementing controls.
2
Policy Development
We draft AI use policies aligned with Privacy Act, your industry regulations, and client contracts. Define approved tools, prohibited activities, and guardrails.
3
Control Implementation
Deploy DLP, Purview, monitoring, and whitelisting. Configure tools to enforce policies automatically. Reduce human reliance for compliance.
4
Employee Training
Teach your team why governance matters. Show them approved tools and how to use them safely. Make compliance intuitive and painless.
5
Ongoing Monitoring
Continuously monitor for shadow AI, policy violations, and data exposure attempts. Generate monthly compliance reports. Adjust policies as new tools emerge.
Frequently Asked Questions
Won’t governance slow down our teams?+
No. Good governance is enablement. Approved tools integrate into workflows. Over time, governance makes work faster because teams don’t waste time on unapproved tools or managing incidents from 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 in use.
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 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 can’t 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 leak.
Is governance auditable for compliance reviews?+
Yes. We generate audit reports showing policies, tools approved, controls deployed, and monitoring in place. For Privacy Act reviews, SOC 2 audits, or client audits, you have documented governance proving you took reasonable steps.
Take Control of AI Risk Today
Shadow AI won’t disappear. Governance frameworks make it visible and controllable. Protect your data. Stay compliant. Let your teams use AI safely.
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