AI research
The state of AGI: what the evidence supports, and what it does not
A sober read of the AGI evidence in 2026: what frontier systems can measurably do, what expert forecasts actually say, how seriously to take the existential question, and what the research shows about humans and AI working together.
Security leadership
Fractional CISO services in Australia: cost, scope, and when the model works
What a fractional CISO actually does, what the role costs in Australia, the failure modes nobody advertises, and where the always-on digital CISO fits next. A straight guide for mid-market boards weighing their security leadership options.
Board reporting
Reporting AI risk to the board: a one-page position summary that actually works
What the board actually wants on the AI risk page is the answer to four specific questions. Most AI risk reports answer different questions. Here is the structure that lands, four worked examples by sector, and a template you can lift verbatim.
AI · Risk
Evals are a risk control. Most AI deployments are missing them.
If you cannot quantify the failure rate of a deployed AI system, you cannot say what its residual risk is, and the regulators are starting to ask. Evals are the discipline that closes the gap, and they are simpler to start than the literature implies.
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