Regulatory frameworks, built in from day One.

APRA, ASIC and Privacy Act obligations are mapped control by control in the registry. Global standards shape the platform and our research.

One AI system, layers of obligation

Every AI system sits inside several rings of rules, from your own policy out to prudential standards.

  1. Your AI policy

    Your own rules come first: what AI may do, risk appetite and who approves, applied through the same controls. Recorded as policies and gate rules

  2. Prudential standards

    APRA CPS 220 (SPS 220 for super trustees) sets the risk framework and appetite every AI system is rated against. CPS 230 (41 controls) and CPS 234 (24 controls), mapped control by control. Mapped in the control registry

  3. Accountability

    The Financial Accountability Regime: key functions (16 controls) tie each AI system to an accountable executive. Mapped in the control registry

  4. Privacy and consumer law

    Automated-decision transparency under the Privacy Act starts in December 2026. Referenced

  5. International frameworks

    ISO/IEC 42001, NIST AI RMF and the EU AI Act, for groups operating abroad or certifying their AI management system. Referenced

What Australian rules expect of AI

CPS 220 sets the risk framework the rest sits in, three are mapped control by control in the registry, and the rest is recent guidance on duties you already have. Each comes back to the same basics: know your AI, own it, prove it is controlled.

Risk managementCPS 220

Applies since 1 Jul 2019

AI risk sits inside the Board-approved risk framework and risk appetite. CPS 220 does not name AI, but it covers the risks AI creates.

What it means for AI
  • AI risk sits in the framework under the material risk it belongs toEach AI system linked to its material risk
  • The risk appetite sets a tolerance for each material riskTier rules set against your Board-approved tolerances
  • A yearly Board declaration to APRA, and an independent review every three yearsEvidence kept ready for both
  • Significant breaches go to APRA within 10 business daysBreaches recorded with notification dates

SPS 220 sets the same for super trustees, since 1 Jan 2020

Operational riskCPS 230

Applies since 1 Jul 2025

AI now sits inside critical operations, and AI vendors are service providers. CPS 230 does not name AI, but it covers it.

What it means for AI
  • Every AI system in a critical process has an owner and a risk tierInventory with owners, tiers and review dates
  • Know which critical operations depend on AI, and the disruption you can tolerateSystems linked to the operations they support
  • Plan for an AI system failing or behaving wronglyContinuity controls and incident records per system
  • Model providers and AI features in vendor software are service providersVendors and models linked to the systems that use them

41 controls in the registry

Information securityCPS 234

Applies since 1 Jul 2019

AI systems hold sensitive data, and agents reach tools through identities and keys, so they sit squarely in scope.

What it means for AI
  • Track threats specific to AI, such as prompt injection and data leakageThreats catalogued against OWASP and MITRE ATLAS
  • Know what data each AI system and vendor model touchesData sensitivity recorded in each risk assessment
  • Least privilege for agents, and tests that prove itTool and MCP permissions, enforced at the gate and tested
  • AI incidents run on the same 72-hour clock as any otherIncident register with notification dates

24 controls in the registry

Financial Accountability RegimeFAR

Applies since Mar 2024

When AI supports a key function, someone named is accountable for it. Banks since March 2024, insurers and super trustees since March 2025.

In CognaOne
  • Accountable executive and key function recorded for each AI system
  • Changes in accountability tracked with dates
  • Controls and evidence tied to the accountable person

16 controls for insurance key functions

Letter to industry on AIAPRA

Issued 30 Apr 2026

Assurance is not keeping pace with adoption, and boards lean on vendor summaries. APRA will step up supervision.

Expects
  • An owned inventory of AI tools and use cases
  • The AI supply chain mapped, fourth parties included
  • People in high-risk decisions, controls on agents
  • Assurance before go-live and after

Beware the gap, REP 798ASIC

Published Oct 2024

624 AI use cases across 23 licensees. Adoption is outpacing governance, often with third-party models.

Expects
  • Governance that keeps pace with AI use
  • Risk judged from the consumer’s side, bias included
  • Accountability kept for third-party AI
  • Accurate claims about how AI is used

Automated decisionsPrivacy Act

Applies from 10 Dec 2026

Privacy policies must say where a program makes, or substantially helps make, decisions that significantly affect people.

Must disclose
  • The personal information these programs use
  • Decisions made by a program alone
  • Decisions a program substantially helps make

General information, not legal advice.

Global standards that shape CognaOne

These standards shape the platform and our research. They move into the registry as they are mapped control by control.

Australia

APRA, ASIC and OAIC
  • APRA CPS 220Risk management framework and risk appetite, which AI risk has to sit within Source→
  • APRA CPS 230Operational risk management, including AI in critical operations and service providers Source→
  • APRA CPS 234Information security, including the data and access AI systems hold Source→
  • Financial Accountability RegimeA named accountable person for each key function, and the AI inside it Source→
  • Privacy Act, APP 1.7 and 1.8Privacy policies explain automated decisions, from 10 Dec 2026 Source→

United States

NIST, MITRE and OWASP
  • NIST AI RMFGovern, map, measure and manage AI risk Source→
  • MITRE ATLASAdversary tactics and techniques against AI systems Source→
  • OWASP Top 10 for LLM applicationsSecurity risks specific to LLM and agent systems Source→

Europe

ISO, IEC and the EU
  • ISO/IEC 42001AI management system, including AI system impact assessment Source→
  • ISO/IEC 23894Guidance on AI risk management Source→
  • EU AI ActRisk tiers, transparency, deployer duties; high-risk obligations from 2 Dec 2027 and 2 Aug 2028 Source→

Singapore

MAS and IMDA
  • MAS AI risk managementProposed expectations for financial institutions in Singapore Source→
  • IMDA agentic AI frameworkGovernance of agentic AI deployments in Singapore Source→
Australia · APRA, ASIC and OAIC
  • APRA CPS 220Risk management framework and risk appetite, which AI risk has to sit within Source→
  • APRA CPS 230Operational risk management, including AI in critical operations and service providers Source→
  • APRA CPS 234Information security, including the data and access AI systems hold Source→
  • Financial Accountability RegimeA named accountable person for each key function, and the AI inside it Source→
  • Privacy Act, APP 1.7 and 1.8Privacy policies explain automated decisions, from 10 Dec 2026 Source→
United States · NIST, MITRE and OWASP
  • NIST AI RMFGovern, map, measure and manage AI risk Source→
  • MITRE ATLASAdversary tactics and techniques against AI systems Source→
  • OWASP Top 10 for LLM applicationsSecurity risks specific to LLM and agent systems Source→
Europe · ISO, IEC and the EU
  • ISO/IEC 42001AI management system, including AI system impact assessment Source→
  • ISO/IEC 23894Guidance on AI risk management Source→
  • EU AI ActRisk tiers, transparency, deployer duties; high-risk obligations from 2 Dec 2027 and 2 Aug 2028 Source→
Singapore · MAS and IMDA
  • MAS AI risk managementProposed expectations for financial institutions in Singapore Source→
  • IMDA agentic AI frameworkGovernance of agentic AI deployments in Singapore Source→

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