Latest Articles
Managing the Stubborn Residual Risks of AI Governance
An open-source tool that finds every cross-border AI data flow in a company's code before it ships. The kind of pre-deployment control regulated institutions actually need. Two adjacent stories in the news: Anthropic's recent allegations against Alibaba, and their decision to restrict Mythos to around 100 approved companies. Three connected problems at the heart of AI governance: 1. AI data residency and sovereignty, 2. AI theft, and 3. AI export control. Each carries residual risks that technology cannot fully eliminate. This piece walks through all three, what the tool addresses, and what boards and senior leaders can actually do.
DeepSeek V4 Has Launched. Time to Seek Deeper and Compare AI Models.
DeepSeek V4 launched on 24 April 2026. Open source. MIT licence. 1 million token context. $0.28 per million output tokens. 99% cheaper than GPT-5.5 and Claude on output. The advisory brief I wrote six weeks ago is now testable. No single model wins everything. But the door for regulated enterprises is now open.
Advisory Brief: Seek Deeper in DeepSeek
DeepSeek V4 is expected to launch any time now, before China's Two Sessions in 2026. It is open source, a benefit none of its competitors can match. For regulated sectors where data sovereignty matters, this is the first frontier AI that enterprises can download and run on their own servers, with data never leaving their premises. An advisory brief for boards and management teams before it launches.