Google, OpenAI and Anthropic are reportedly moving towards a joint body to set safety standards for frontier AI, tentatively called the Standards Authority for Frontier AI, or SAFA (September 24 reporting carried by Yahoo News). As of September 26, 2026, the reporting reviewed for this article describes a proposed organisation, Read more
A response to Alberta’s Velocity White Papers: six practical measures that connect agent governance to authority, control performance, human oversight and evidence that others can examine.
We distinguish between confirmed timelines – statutory effective dates, published standards, and announced regulatory actions – and expected or anticipated developments. Where uncertainty exists, it is stated plainly. EU AI Act: Confirmed Milestones The EU AI Act implementation timeline provides the following confirmed compliance milestones: Milestone Confirmed Date Prohibitions on Read more
Traditional machine learning models are narrow in scope: a fraud detection model flags transactions; a credit scoring model outputs a risk score. Their failure modes, while consequential, are generally bounded and measurable. Generative AI (GenAI) – large language models, image generators, code assistants, and multimodal systems – is different in Read more
AI governance is no longer a management-level discretionary matter. Boards of publicly traded companies, regulated financial institutions, and major private organizations now face explicit expectations – from regulators, shareholders, and insurers – that they will exercise meaningful oversight of AI risk. The era of delegating AI entirely to the technology Read more
Software products have always had features that were really infrastructure: uptime, security, data integrity. Those features were assumed without being measured – until they failed visibly enough that buyers started demanding specifics. “What is your uptime SLA?” became standard because outages became a differentiator. “How do you handle breaches?” became Read more
Every technology adoption cycle produces cautionary tales. The early internet had companies that scaled customer data operations without encryption. Cloud adoption produced enterprises that pushed sensitive workloads to public infrastructure without access controls. AI agents are in the “before the cautionary tales are written” phase. The deployments happening right now, Read more
The build-versus-buy question comes up in every technology investment cycle. For AI agent governance, the question is particularly fraught because the problem is novel enough that many organizations are uncertain what a good solution looks like – and because the temptation to build is strong when internal teams can see, Read more
Every technology governance debate eventually arrives at the same false binary: move fast, or be safe. Ship agents and accept the risk, or implement controls and accept the slowdown. The framing is wrong – but it is so pervasive that IBM’s Cost of a Data Breach 2025 found that governance Read more
Boards are asking. Not in a casual, exploratory way – in the way that follows a compliance breach, a regulatory inquiry, or a news story about an AI system doing something it should not have done. The question landing in board meetings now is direct: who in this organization is Read more
