AI Security & Governance Services

AI Security & Governance Services

Cube Cyber helps Australian organisations adopt AI without losing control of their data, shadow AI discovery, data protection for AI workloads, AI governance policy, and ISO 42001 AI management systems, from policy through to implementation. Most organisations are already using AI more widely than their governance accounts for; we make that use visible, safe and defensible.

KEY CHALLENGES

AI security engagements start from realities most organisations recognise:

1

AI use is already happening

AI use is already happening ungoverned, staff are pasting company and customer data into public AI tools, and AI features are switching on inside SaaS platforms you already run, with nobody tracking where the data goes.

2

Policy without teeth

Policy without teeth, an AI policy was written, circulated and forgotten, with no technical controls behind it, no way to see whether it is followed, and no answer when the board asks what the exposure actually is.

3

Customers and regulators are asking

Customers and regulators are starting to ask, tenders, procurement questionnaires and regulated-sector reviews increasingly include AI governance questions that an all-purpose privacy policy cannot answer.

CORE DISCIPLINES

Core capabilities & deliverables

Shadow AI discovery

Shadow AI discovery

Visibility of the AI tools actually in use across your organisation, sanctioned and otherwise, and what data flows into them, because governance that starts from an imagined inventory governs nothing.

AI governance and policy

AI governance and policy

Practical AI usage policy, risk appetite and approval pathways, designed so people can get their work done safely rather than routed around the rules, and backed by controls, not just circulation.

Data protection for AI workloads

Data protection for AI workloads

Technical controls over what data reaches which AI systems, data classification, access control and monitoring across public AI tools, embedded SaaS AI features and your own AI initiatives.

ISO 42001 AI management systems

ISO 42001 AI management systems

Certification support for the AI management system standard, building on the same management-system discipline as ISO 27001, and integrated with your ISMS where one exists. Our practitioners hold ISO 42001 Lead Auditor certification.

Secure AI adoption

Secure AI adoption

Security review of AI initiatives before they ship, model and data pipeline risks, third-party AI services, and the identity and access architecture that keeps AI systems from becoming the newest privileged user nobody is watching.

CORE DISCIPLINES

Core capabilities & deliverables

Shadow AI discovery

Shadow AI discovery

Visibility of the AI tools actually in use across your organisation, sanctioned and otherwise, and what data flows into them, because governance that starts from an imagined inventory governs nothing.

AI governance and policy

AI governance and policy

Practical AI usage policy, risk appetite and approval pathways, designed so people can get their work done safely rather than routed around the rules, and backed by controls, not just circulation.

Data protection for AI workloads

Technical controls over what data reaches which AI systems, data classification, access control and monitoring across public AI tools, embedded SaaS AI features and your own AI initiatives.

ISO 42001 AI management systems

ISO 42001 AI management systems

Certification support for the AI management system standard, building on the same management-system discipline as ISO 27001, and integrated with your ISMS where one exists. Our practitioners hold ISO 42001 Lead Auditor certification.

Secure AI adoption

Secure AI adoption

Security review of AI initiatives before they ship, model and data pipeline risks, third-party AI services, and the identity and access architecture that keeps AI systems from becoming the newest privileged user nobody is watching.

METHODOLOGY AND FRAMEWORKS

AI security engagements follow a four-stage path:

1

Discover

Establish actual AI use across the organisation, tools, features, data flows and owners, including the shadow inventory nobody commissioned.

2

Assess

Risk assessment of that use in your regulatory and commercial context, which uses are fine, which need controls, and which need to stop.

3

Govern

Policy, approval pathways and technical controls implemented together, so the paper and the enforcement match.

4

Certify & operate

Where certification is the goal, build and embed an ISO 42001 AI management system, then operate it as a living governance rhythm rather than an annual scramble.

Work is aligned to ISO 42001 and ISO 27001, the NIST AI Risk Management Framework, and Australian Privacy Act obligations, and integrates with your existing security management system rather than duplicating it.

ISO 42001ISO 42001
NIST AI FrameworkNIST AI Framework
APAO
ISO 27001ISO 27001
FAQS

Frequently asked questions

AI use inside your organisation that nobody approved or tracks, staff using public AI tools with company data, AI features enabled by default inside SaaS platforms, and departmental experiments running outside IT's view. It is the AI equivalent of shadow IT, and in most organisations it is the majority of AI use.

Blanket blocking usually fails, staff route around it on personal devices, and the organisation loses the productivity benefit while keeping the risk, now invisible. Effective governance makes safe AI use easy and unsafe use hard: approved tools, clear rules about data, and technical controls that enforce them.

ISO 42001 is the international standard for AI management systems, the governance structure for how an organisation develops, procures and uses AI responsibly. You need it when customers, regulators or your board require demonstrable AI governance, and it is emerging in tenders the way ISO 27001 did a decade ago. Early certification is a differentiator; late certification is a scramble.

They should be integrated, not parallel. ISO 42001 follows the same management-system structure as ISO 27001, and AI risks are ultimately data, identity and third-party risks with new pathways. We build AI governance into your existing system so there is one rhythm of risk assessment, audit and review, not two.

Yes, embedded AI is now the fastest-growing part of the problem. SaaS platforms are enabling AI features by default, each with its own data handling. We assess what is switched on across your stack, what data those features can reach, and configure or restrict them to match your risk appetite.

CONTACT

We're here to help.

Talk to a practitioner, not a call centre. Tell us what you're trying to solve and we'll come back to you within one business day. If you're dealing with an active incident, call us directly.

Head Office
Head office
300 Ann Street, Brisbane QLD 4000
Let's Talk
Let's talk
1300 085 366
Email
Email us
info@cubecyber.com

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