AI incidents in 2026: four surveys, one pattern
A side-by-side reading of the 2026 OneTrust, DigiCert, Spacelift and Proofpoint AI risk surveys: how common AI incidents are, why deployment rarely slows, and the three controls that close the gap.
9 articles
Sources cited
Working notes on AI governance, trust & safety and product compliance. Written for the people who have to make the controls work.
A side-by-side reading of the 2026 OneTrust, DigiCert, Spacelift and Proofpoint AI risk surveys: how common AI incidents are, why deployment rarely slows, and the three controls that close the gap.
Where the NIST AI Risk Management Framework stands in late 2026: the GenAI profile, the critical infrastructure profile, the revision under the AI Action Plan, the Cyber AI Profile, and the three ways adoption usually fails.
A phased plan for standing up trust & safety: when to start, what to build in the first month, which policies and tools come next, and the mistakes that cost the most.
What CPSC rules mean for marketplace sellers of children's products and button-battery goods: Reese's Law, testing and certificates, recalls, and how marketplaces enforce them.
How platforms meet DSA duties in practice: notice-and-action, statements of reasons, appeals, transparency reports, and the moderation tooling that holds up at scale.
What providers of high-risk AI systems must do under the EU AI Act, including the deadlines moved by the 2026 AI Omnibus, conformity assessment, and a practical roadmap.
When a startup needs senior safety leadership before it can justify a full-time hire, what a fractional Chief Safety Officer does, and how to scope the role.
How to track regulatory change across markets and turn it into product, policy and enforcement decisions before deadlines hit.
The trust & safety questions investors should ask before backing a platform, the red flags that predict regulatory and reputational loss, and how to size the risk.