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AI Agents That Pass Authentication Can Still Drift, Expose Data, or Get Memory-Poisoned

August 31, 2026
AI News
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A VentureBeat guest essay argues that AI agents which pass authentication can still drift from their objective, expose data and have their memory poisoned, because authentication verifies who an agent is while runtime trust verifies what it is doing. This piece explains the five runtime threats, the five-pillar runtime trust model (intent validation, behavioural monitoring, policy enforcement, least-privilege execution, human oversight), how it maps onto the six deployment gates in the companion essay, the 2026 research measuring memory-poisoning success rates, the OWASP and MITRE ATLAS entries that name each threat, the survey figures on the post-authentication control gap, what Microsoft, AWS and Cloudflare have shipped, and a roadmap a UK business can run with the tools it already owns.

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Human-in-the-Loop AI: Proven Design Guide to Avoid Risk

August 9, 2026
Artificial Intelligence
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A language model does not fail loudly; it fails fluently, producing a confident and entirely wrong answer that looks exactly like the correct ones before it. This guide treats human-in-the-loop design as an engineering problem rather than a governance slogan: the difference between in-the-loop, on-the-loop and in-command, the five review patterns and when each is appropriate, where in a workflow the checkpoint actually belongs, how to build a review interface that produces good decisions instead of fast ones, how to size the review workload before committing headcount, how to calibrate confidence thresholds against real outcomes, the five metrics that reveal rubber-stamping, and what an audit trail must record to satisfy the EU AI Act, UK GDPR and ISO/IEC 42001.