Latest Advisory
VENDORiQ: We called it! Cash-Strapped AI Vendors Add Ads. Commercial Bias in 3…2…1
OpenAI’s pivot to advertising signals inevitable commercial bias, compromising output integrity and privacy. Executives must audit free-tier usage and prioritise vendor independence.
VENDORiQ: We called it! Cash-Strapped AI Vendors Add Ads. Commercial Bias in 3…2…1
OpenAI’s pivot to advertising signals inevitable commercial bias, compromising output integrity and privacy. Executives must audit free-tier usage and prioritise vendor independence.
VENDORiQ: NetApp’s New Partnerships – Can They Deliver on the Provable Recovery Promise?
NetApp’s new alliances bolster hybrid resilience and legacy support, but success hinges on rigorous recovery testing and complex multi-vendor orchestration.
The Mythos Manifesto: Anthropic’s High-Stakes AI Cyberwar – AFR Apr 8 2026
Anthropic’s Claude Mythos detects critical vulnerabilities effectively, yet risks overwhelming security teams without automated patching, creating potential national security bottlenecks.
Agentic Architecture Options Part 8: Infrastructure Providers
Data sovereignty and centralised management prioritised over cost; IBRS favours containerised, Australian-hosted infrastructure across global, domestic, and open-source stacks.
Agentic Architecture Options Part 7: Hybrid Neuro-Symbolic (HNS) Architecture
HNS blends neural pattern recognition with symbolic logic to ensure safety and auditability. It is a niche, complex architecture for high-stakes environments.HNS blends neural pattern recognition with symbolic logic to ensure safety and auditability. It is a niche, complex architecture for high-stakes environments.
Agentic Architecture Options Part 6: Multi-Agent Systems (MAS/ Collaborative Debate) Architecture
Multi-agent systems improve reasoning through collaborative debate. While costly and slow, they are vital for high-stakes tasks requiring extreme accuracy.
Agentic Architecture Options Part 5: Reflexion (Self-Correction) Architecture
Reflexion architecture uses self-correction and memory to fix errors, but high costs and latency make it best for deterministic tasks.