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The UK Ministry of Defence (MOD) has selected Red Hat to architect a unified AI and hybrid cloud backbone across its entire estate. Announced today, the agreement is designed to break down data silos and accelerate the deployment of AI models from the data centre to the tactical edge. For CIOs, it’s part of a […]
Red Hat unifies AI and tactical edge deployment for UK MOD Read More »
The last major nuclear arms treaty between the US and Russia just expired. Some experts believe a combination of satellite surveillance, AI, and human reviewers can take its place. Others, not so much.
AI Is Here to Replace Nuclear Treaties. Scared Yet? Read More »
Plus: Apple’s Lockdown mode keeps the FBI out of a reporter’s phone, Elon Musk’s Starlink cuts off Russian forces, and more.
Moltbook, the Social Network for AI Agents, Exposed Real Humans’ Data Read More »
ICE has used Mobile Fortify to identify immigrants and citizens alike over 100,000 times, by one estimate. It wasn’t built to work like that—and only got approved after DHS abandoned its own privacy rules.
ICE and CBP’s Face-Recognition App Can’t Actually Verify Who People Are Read More »
OpenAI introduces Trusted Access for Cyber, a trust-based framework that expands access to frontier cyber capabilities while strengthening safeguards against misuse.
The second day of the co-located AI & Big Data Expo and Digital Transformation Week in London showed a market in a clear transition. Early excitement over generative models is fading. Enterprise leaders now face the friction of fitting these tools into current stacks. Day two sessions focused less on large language models and more
AI Expo 2026 Day 2: Moving experimental pilots to AI production Read More »
Researchers from Microsoft have unveiled a scanning method to identify poisoned models without knowing the trigger or intended outcome. Organisations integrating open-weight large language models (LLMs) face a specific supply chain vulnerability where distinct memory leaks and internal attention patterns expose hidden threats known as “sleeper agents”. These poisoned models contain backdoors that lie dormant
Microsoft unveils method to detect sleeper agent backdoors Read More »
On November 2, 1988, graduate student Robert Morris released a self-replicating program into the early Internet. Within 24 hours, the Morris worm had infected roughly 10 percent of all connected computers, crashing systems at Harvard, Stanford, NASA, and Lawrence Livermore National Laboratory. The worm exploited security flaws in Unix systems that administrators knew existed but
The rise of Moltbook suggests viral AI prompts may be the next big security threat Read More »
In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models against adaptive and paraphrased attacks. We combine semantic similarity analysis, rule-based pattern detection, LLM-driven intent classification, and anomaly detection to create a defense system that relies on no single point of failure. Also, we demonstrate how practical, production-style safety
Plus: AI agent OpenClaw gives cybersecurity experts the willies, China executes 11 scam compound bosses, a $40 million crypto theft has an unexpected alleged culprit, and more.
Jeffrey Epstein Had a ‘Personal Hacker,’ Informant Claims Read More »
