Regulatory responses, architecture briefs, and research papers for Songlines Control® — the AI governance platform built for Australian enterprise and government.
Regulatory Responses
White Paper · Regulatory Compliance
ASIC Critical Gap: Shoring Up AI Governance
An analysis of the critical AI governance gaps identified by ASIC and how Songlines Control® provides the infrastructure to close them — from AI inventories and audit trails to third-party model risk controls.
APRA identified four critical gaps in how Australia's banks, insurers, and super funds are managing AI risk. This brief maps each gap to the specific Songlines Control® capabilities that close them — before enforcement action follows.
Shoring up AI Governance: Closing the Gaps in ASIC's REP 798
ASIC's 2024 review found 23 AFS licensees with dangerous AI governance gaps. This white paper maps each of ASIC's eight findings to the specific Songlines Control® capabilities that close them.
Governing AI in Queensland Government: Closing the Gaps Identified by the QAO
The Queensland Audit Office found critical AI governance gaps across government entities. This white paper maps each QAO finding to the specific Songlines Control® capabilities that close them.
Governance Infrastructure: What Your Organisation Needs Before AGI Arrives
AGI is 2–5 years away. The governance infrastructure your organisation needs for AGI is the same infrastructure it needs right now for the agentic AI systems already operating inside the enterprise. This brief maps the five pillars of AGI-ready governance.
What Does Your Governance Infrastructure Need to Look Like Before AGI Arrives?
A strategic brief for Australian enterprise and government leaders on building AGI-ready AI governance infrastructure — before it is too late. Maps the five pillars of AGI-ready governance to Songlines Control® capabilities.
The Dual Mandate: Aligning AI Governance with Corporate Sustainability Targets
How enterprise AI governance simultaneously reduces costs and carbon emissions. Examines AI inference as Scope 3 Category 1 emissions, AASB S2 mandatory disclosure obligations, and how Songlines Control® delivers 30–60% emissions reduction through intelligent model routing and semantic caching.
Token Yield: The Four Architectural Levers of AI Cost Efficiency
Enterprise AI token spend is scaling exponentially. The root cause is architectural — not a model problem. This white paper maps the four architectural levers of token efficiency to specific Songlines Control® capabilities.
A technical overview of the Songlines Control® architecture — covering the proxy engine, policy evaluation pipeline, intelligent routing, deployment models, and integration ecosystem. Includes the Observe / Enforce / Orchestrate operating mode framework.
A detailed breakdown of security responsibilities between Cetus AI and customer organisations across all deployment models — SaaS, Private Cloud, and On-Premise / Air-Gapped.