Google DeepMind's Demis Hassabis is calling for a US-led AI standards body to review frontier models for national security risks. The proposed body would be a federally overseen public-private organization, initially voluntary and eventually mandatory for US deployment. This move aims to address risks associated with artificial general intelligence, including cybersecurity and biological threats.

Google introduces Neuro-Agentic Control, a novel AI framework that combines LLM-based planning with a Time-Series Foundation Model (TimesFM) to achieve physics-grounded autonomous defense for industrial IoT. This architecture, featuring a "Counterfactual Physics Injection" mechanism, effectively prevents LLM hallucinations, ensuring safe and reliable control over critical security systems in operational technology environments.

The Free Software Foundation has been fighting web crawlers and botnets for nearly two years, using a tool called reaction to block millions of IPs. The foundation's systems administrator has shared their experience and techniques for identifying and blocking botnet traffic. This approach has significant implications for the AI industry and cybersecurity.

OpenAI has officially launched its highly anticipated new family of models, spearheaded by GPT-5.6, marking a significant leap forward in generative AI capabilities. This release promises substantial improvements across diverse areas, including a critical focus on bolstering cybersecurity applications and overall model safety.

Amazon Bedrock, a new AI-powered tool, detects and prevents AI-generated phishing attacks, a growing threat to cybersecurity. These advanced phishing attacks use generative AI and open-source intelligence to craft sophisticated and personalized emails. Amazon Bedrock's technology helps security teams stay ahead of these emerging threats.