Understand how AIxSafe supports APRA CPS 234 obligations through policy enforcement, data handling controls, third-party information security and evidence reporting across enterprise AI deployments.
CPS 234 requires APRA-regulated entities to maintain information security capabilities, manage information asset security, and notify APRA of material incidents. AIxSafe directly supports these obligations across AI-driven workflows.
AIxSafe enforces role-based access controls, prompt inspection and policy rules across AI channels — maintaining an active security capability proportionate to AI-associated risks.
AIxSafe acts as the control boundary between enterprise AI applications and external LLM vendors. It enforces approved model pathways and prevents unmanaged third-party data exposure.
Structured telemetry and immutable evidence trails support APRA incident notification obligations — giving compliance teams the documented record needed to respond and report within regulatory timeframes.
A centralized control layer designed to bridge the gap between AI innovation and enterprise risk requirements.
Define how requests are inspected, classified and routed before model access. Ensure PII and regulated data classes are redacted or blocked based on specific policy triggers.
Return structured telemetry to support audit, incident response and oversight. Raw model interaction data is transformed into immutable evidence trails.
Evidence GuideSeparate the control layer from vendor infrastructure and institution-specific obligations. Clarify boundaries between AIxSafe, model providers, and internal systems.
Discuss control boundaries, deployment models and reporting outputs for your regulated AI environment.