Sarah Drummond
Sarah Drummond covers artificial intelligence and emerging technology. She writes about AI tools, model developments, and what the latest advances mean for businesses and consumers in the UK.

AI Confidential Documents: The Safe Way to Use Work Files
Before pasting company files into AI, classify the document first. Here is a practical way to protect confidential data without…

What is open source AI, and is it really open?
Open source AI is not one simple label. Learn how weights, code, data and licences decide what is genuinely open…

25 May 2026: AI Finds 10,000 Flaws as Trump Pulls His AI Order (AM)
Anthropic's Mythos Preview has found 10,000+ critical software vulnerabilities worldwide. Trump shelved his AI executive order hours before signing.

24 May 2026: Malware Strikes AI Training Library, DeepSeek Cuts Prices for Good
Supply chain malware hits PyTorch Lightning, DeepSeek makes its 75% price cut permanent, and Amazon's Bee AI wearable goes live.…

AI customer data without the privacy mess
AI customer data can help teams spot feedback patterns, but only when records are minimised, redacted, checked and reviewed before…

What is synthetic data, and why do AI companies use it?
Synthetic data is artificially generated data that mimics real data. AI companies use it for scale, privacy and edge cases,…

24 May 2026: AI Finds 10,000 Security Bugs, NTSB Restricts Crash Data Over Voice Cloning (AM)
Claude Mythos has found 10,000+ critical security flaws in open-source software. Plus: NTSB restricts crash data after AI voice cloning.

23 May 2026: Google Maps AI’s Next Phase as Microsoft Pulls Claude Code Access
Google I/O's Dialogues stage sets the AI agenda, Microsoft cuts Claude Code licences, and an aviation safety row shows the…

Workplace AI Privacy: The Information to Keep Out
A practical workplace AI privacy guide for deciding which customer data, payroll details, contracts and public copy should stay out…

What is model drift, and why can AI behaviour change over time?
Model drift explains why AI behaviour can change over time, and how to monitor important AI workflows before reliability slips.