AI Governance Consulting
Model-level controls, risk assessment and responsible-AI alignment - the governance layer APRA expects.
Read more →Regulatory Compliance
Meet APRA's AI expectations. With confidence.
In late 2025 APRA told banks, insurers and super funds that AI is being adopted faster than it is being governed - and flagged four areas where regulated businesses are falling short. RUBIX helps you close every one of them, on a governed data foundation, before it becomes a finding.
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- 4 areasEvery APRA concern addressed
- Board-readyA defensible position
- Since 2010Built for regulated sectors
TL;DR
After engaging large banks, insurers and superannuation trustees in late 2025, APRA wrote to industry on the risks of artificial intelligence. It found governance and controls lagging behind adoption, and highlighted four weak spots: information security and cyber, governance and oversight, third-party and concentration risk, and assurance, monitoring and change management. APRA's framework is principle-based and technology-agnostic, so these obligations already apply. RUBIX - an Australian data and AI consultancy since 2010, trusted across banking, insurance, super and government - helps regulated businesses assess the gaps and remediate all four, grounded in a governed data foundation.
4APRA focus areas
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450+Data & AI projects
BankingInsurance & super
What APRA is asking of regulated businesses.
APRA's message was direct: AI can bring real benefits, but many regulated entities are deploying it faster than their risk management can keep up. Crucially, APRA was clear that its prudential framework is technology and vendor agnostic - so entities are already expected to manage AI risk within existing obligations, not wait for AI-specific rules. Boards and executives are accountable now.
The regulator grouped the shortfalls into four areas. Below is what APRA raised in each - and how RUBIX helps you remediate it.
The four issues
Where APRA says businesses fall short - and how RUBIX fixes it.
1
Information security & cyber
What APRA raised
AI opens new attack paths - prompt injection, data leakage, insecure integrations - while identity and access controls were not built for non-human actors like AI agents. APRA also flagged weak security testing of AI-generated code, remediation that lags the faster threat, and uncontrolled staff use of AI tools outside approved frameworks.
How RUBIX helps
We harden AI systems by design: secure, permissioned integrations, access and identity controls that cover AI agents, security testing for AI-assisted code, and controls over shadow AI use - backed by a governed data layer so sensitive data is classified and protected wherever AI touches it.
2
Governance & board oversight
What APRA raised
Governance maturity is lagging adoption, with AI often treated as "just another technology" and gaps across the lifecycle - post-deployment monitoring, change management and decommissioning. APRA said boards often lack the literacy to challenge AI risk effectively and lean too heavily on vendor presentations.
How RUBIX helps
We stand up a practical AI governance framework with clear ownership from design to decommissioning, an inventory of AI use cases and tooling, human-in-the-loop controls for high-risk decisions, and board-level briefings and reporting so leadership can set strategy and genuinely challenge the risk.
3
Third-party & concentration risk
What APRA raised
Many entities depend heavily on a single provider across multiple AI use cases, with limited contingency or tested exit plans. Contracts often lack audit rights, model-change and incident-notification provisions, and upstream dependencies - foundation models, training data and fourth parties - are largely opaque.
How RUBIX helps
We map your full AI supply chain, including third and fourth parties, assess concentration risk against plausible failure scenarios, and help put substitution and exit strategies in place - plus the contractual transparency, auditability and assurance APRA expects.
4
Assurance, monitoring & change
What APRA raised
Assurance is fragmented across cyber, data, model risk and compliance, and point-in-time, sample-based checks do not suit adaptive, probabilistic models. APRA noted little continuous validation to catch drift, bias or failure, and second-line functions that lack specialist AI skills and tooling.
How RUBIX helps
We build continuous, proportionate monitoring for drift, bias and data-quality issues, integrate assurance across cyber, data governance, model performance and conduct, run pre-deployment risk assessments, and equip your second line with the tooling to assess AI systems independently.
APRA expectation, mapped to RUBIX remediation.
A quick reference for boards and risk teams: what APRA expects, and the RUBIX work that delivers it.
| What APRA expects | How RUBIX delivers it |
|---|---|
| Boards with AI literacy and effective oversight | Board briefings, AI risk reporting and a governance operating model |
| An inventory of AI use cases and tooling | Discovery and inventory of where AI is used across the business |
| Human involvement in high-risk decisions | Human-in-the-loop controls, approvals and audit logging |
| Security controls for AI-specific threats | Secure integrations, agent access management and AI-code testing |
| Visibility of third and fourth-party dependencies | AI supply-chain mapping and concentration-risk management |
| Continuous monitoring for drift and bias | Ongoing model monitoring on a governed data foundation |
| Integrated, lifecycle assurance | Assurance joined up across cyber, data, model and conduct risk |
| Trustworthy, well-governed data under AI | Governed data foundation: lineage, classification and quality |
How we help
From assessment to a defensible position.
RUBIX works in fixed-scope stages, so the highest-risk gaps are closed first and the board sees progress early.
01
Assess
We inventory where AI is used and benchmark it against APRA's four areas, prioritising the highest-risk gaps.
02
Design
We design the target operating model - governance, security, third-party and assurance controls sized to your business.
03
Remediate
We stand up the controls and the governed data foundation beneath them, closing gaps with clear ownership.
04
Assure
We put continuous monitoring and board reporting in place, so compliance is ongoing and evidenced, not point-in-time.
APRA's framework is principle-based and technology-agnostic - the obligation to manage AI risk is here
now. RUBIX pairs this remediation with AI governance and
data governance, so the controls sit on a foundation you can
actually trust and evidence.
Why RUBIX for APRA-regulated businesses.
- Built for regulated sectors. Since 2010 we have delivered enterprise data and AI work for Australian banks, insurers, super funds and government - the entities APRA regulates.
- We do the data and the controls. Governance, security and assurance mean little without trustworthy data underneath. RUBIX builds both, so remediation is real, not paperwork.
- Independent and senior. Vendor-independent advice from senior practitioners - exactly the "effective challenge" APRA wants boards to be able to apply.
- Practical and staged. Fixed-scope stages that close the highest-risk gaps first and give the board a defensible position early.
Frequently asked questions.
What did APRA say about AI?
Following targeted engagement with large banks, insurers and superannuation trustees in late 2025, APRA wrote to industry setting out its expectations for managing AI risk. It highlighted four areas where practice is lagging: information security and cyber, governance and oversight, third-party and concentration risk, and assurance, monitoring and change management. Because APRA's framework is principle-based and technology-agnostic, existing obligations already require appropriate management of AI risk.
Does APRA have a specific AI prudential standard?
This letter did not introduce a new AI-specific standard. APRA was explicit that its framework is technology and vendor agnostic, meaning entities must manage AI risk within their existing prudential obligations for operational risk, information security, governance and third-party arrangements rather than waiting for AI-specific rules.
Who needs to act on this?
APRA-regulated entities - banks and other ADIs, insurers, and superannuation trustees - and, in practice, the boards and executives accountable for AI risk within them. Because APRA expects action within existing obligations, the safest position is to assess AI risk now rather than wait.
How can RUBIX help us meet APRA's expectations?
RUBIX runs a gap assessment against APRA's four areas, then remediates: standing up AI governance and lifecycle controls, hardening AI information security, mapping and managing third-party and concentration risk, and building continuous assurance and monitoring - all on a governed data foundation. We have delivered enterprise data and AI work for Australian banks, insurers, super funds and government since 2010.
Where should we start?
Start with a focused gap assessment: an inventory of where AI is used across the business, mapped against APRA's expectations, with the highest-risk gaps prioritised. That gives the board a clear, defensible picture and a staged remediation plan. RUBIX can scope this as a fixed first step.
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Read more →This page summarises RUBIX's understanding of APRA's public letter on AI for general information only. It is not legal, compliance or regulatory advice. Regulated entities should consider their own obligations and seek appropriate advice.
