AI Security & Governance
Govern Your AI Risk Before It Governs You
AI adoption is accelerating across Australian organisations — but the governance frameworks to manage it are still catching up. CyberXM helps you adopt AI confidently, with the right controls, policies and risk management in place.
AI governance, not AI engineering
Our focus is on the risk and governance side of AI — not building models or writing code. We help organisations understand the risks that come with adopting AI tools and platforms, establish appropriate governance structures, and ensure that AI use is consistent with their risk appetite, regulatory obligations and data protection requirements.
What you get
- A clear picture of your AI risk exposure across tools, platforms and use cases
- A governance framework that sets boundaries and accountability for AI use
- Acceptable use policies your staff can actually follow
- Assessed third-party AI vendors with documented risk decisions
- Alignment to NIST AI RMF and emerging Australian AI governance expectations
- Confidence that sensitive data is protected in AI workflows
How CyberXM helps
AI Risk Assessments
Structured assessment of the risks associated with your current and planned AI use — covering data exposure, model risk, third-party dependencies, regulatory obligations and reputational risk.
AI Governance Frameworks
Design and implementation of an AI governance structure appropriate to your organisation — covering roles, accountability, oversight mechanisms, escalation paths and review processes.
AI Acceptable Use Policies
Practical, plain-language policies that define how staff may and may not use AI tools — covering approved tools, prohibited use cases, data handling rules and consequences for non-compliance.
Secure AI Adoption Advisory
Guidance on how to adopt AI tools and platforms securely — covering configuration, access controls, data classification, integration risks and ongoing monitoring requirements.
Third-Party AI Vendor Assessments
Security and risk assessments of AI vendors and platforms your organisation uses or is considering — covering data handling practices, security controls, contractual protections and residual risk.
Data Protection for AI
Assessment of how sensitive and personal data flows into AI systems — identifying exposure risks, recommending controls and ensuring alignment with Privacy Act obligations and data governance policies.
NIST AI RMF Alignment
Gap assessment and roadmap aligned to the NIST AI Risk Management Framework — covering the Govern, Map, Measure and Manage functions to build a structured, repeatable approach to AI risk.
AI Security Awareness
Targeted awareness content and briefings to help staff understand the risks of AI tools — covering social engineering via AI, data leakage through prompts, deepfakes and AI-assisted phishing.
AI risk areas we address
Frameworks & standards
AI is moving fast. Your governance should too.
Book a consultation with a senior CyberXM consultant to understand your AI risk exposure and what a proportionate governance response looks like for your organisation.