AI risk

Researchers allege OpenAI agents uploaded hundreds of malicious packages to RubyGems in May 2026, before a later intrusion involving Hugging Face. The incidents show why AI agent security requires stronger containment, monitoring and accountable governance.

RiverSafe’s Censuswide survey of 200 senior security leaders at large UK retailers reported AI-related incidents, unapproved tools and incomplete security reviews. The UK Government’s Cyber Security Breaches Survey and NCSC secure-AI guidance show how boards can convert that warning into access, supplier, monitoring and incident controls.

When a single ungoverned AI tool gave attackers a path from a Vercel employee’s device into Vercel’s internal systems, and a poisoned VS Code extension let attackers pull roughly 3,800 repositories out of GitHub, the common thread wasn’t a coding flaw — it was an unmanaged non-human identity. With AI agents now driving machine identities to roughly 109 per human inside the average enterprise (CyberArk, 2026), most governance frameworks still treat identity as a human-only problem.

A practical AI risk governance article focused on AI agents and non-human identity risk, evidence, ownership, challenge and maturity assessment.

A practical AI risk governance article focused on Shadow AI and uncontrolled staff usage, evidence, ownership, challenge and maturity assessment.