How Trutina's AI-powered fraud detection aligns with key APRA and ASIC prudential standards for Australian lenders.
This brief demonstrates how Trutina's AI-powered fraud detection system aligns with key APRA and ASIC prudential standards relevant to mortgage lending and operational risk management.
Requirement
ADIs must maintain a risk management framework that identifies, measures, monitors, and manages material risks.
How Trutina helps
Requirement
ADIs must maintain information security capabilities commensurate with threats.
How Trutina helps
Requirement
Sound data risk management practices including data quality and integrity.
How Trutina helps
Requirement
Licensees must make reasonable inquiries about a borrower's financial situation and verify information.
How Trutina helps
Context
ASIC highlighted growing use of technology in mortgage fraud, particularly fabricated income documents.
How Trutina responds
Why it matters
APRA and ASIC both require that automated decision-making be explainable and auditable.
How Trutina delivers
| Standard | Requirement | Trutina Feature |
|---|---|---|
| CPS 220 | Risk management framework | Automated risk scoring, broker profiling |
| CPS 234 | Information security | Encryption, Aus data sovereignty, threat detection |
| CPG 235 | Data risk management | Cross-reference verification, data validation |
| RG 209 | Responsible lending | Income verification, document authenticity |
| Privacy Act 1988 | Data protection | DPA available, data minimisation, right to erasure |
Trutina provides Australian lenders with a purpose-built fraud detection capability that directly addresses the AI-generated document fraud threat while maintaining full alignment with APRA and ASIC prudential requirements. The system's emphasis on explainability ensures that automated risk assessments can be reviewed, audited, and presented to regulators with confidence.
This brief is for informational purposes. It does not constitute legal advice. Organisations should consult their own legal and compliance teams.
Last updated: March 2026
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