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Microsoft launches AI cybersecurity model, agentic defense platform to cut enterprise security costs
Microsoft opened a new front in the AI security wars on Monday, unveiling its first custom-built cybersecurity model and a sweeping agentic defense platform — and making an argument that could reshape how enterprises buy AI: the future belongs not to the biggest model, but to the cheapest one that s good enough, routed intelligently.The company announced MAI-Cyber-1-Flash, a compact security model developed in-house by its Microsoft AI (MAI) division, embedded inside MDASH, Microsoft s multi-agent harness for finding and fixing software vulnerabilities. Together, the company says, the system scores 96% on CyberGym — a benchmark measuring how well AI systems reason over large codebases to find real vulnerabilities — beating frontier models including Mythos, Gemini, and GPT, while cutting costs roughly in half compared to Microsoft s own current production configuration.Alongside the model, Microsoft introduced Project Perception, an agentic security system that coordinates red team agen
Self-contained highly-portable Python distributions
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Microsoft launches its first cybersecurity model, plus a new agentic cybersecurity system
Microsoft bolstered its AI cybersecurity offerings this week with the launch of its first AI security model and a new security platform.
Apple sued after alleged App Store crypto scam cost users $1.8M
Apple is facing a lawsuit from three users who say they collectively lost more than $1.8 million after downloading a fraudulent crypto wallet from the App Store, challenging the company’s longstanding claims that its app review process keeps users safe from scams.
Antares raises $470M to build nuclear reactors for the U.S. military
Antares has raised $470 million to build small modular reactors — 100 kW to 1 MW — for U.S. Air Force bases.
I built an AI tool for shopkeepers. The hardest feature was making it say “I don’t know.”
I m Subham Banerjee, a Product Designer from India, and I recently got selected among the Top 100 teams in the Google Gen AI APAC Edition.Continue reading on Medium »
AI Is Changing Jobs Faster Than Most People Realize
A months ago I had a conversation with someone who had been doing the same office job for nearly fifteen years.Continue reading on Medium »
NORD expands compact NORDAC VFD family to 200 hp
NORD Drivesystems said its NORDAC PRO VFDs are adaptable to individual application requirements across industries. The post NORD expands compact NORDAC VFD family to 200 hp appeared first on The Robot Report.
OpenAI’s Hugging Face breach has reignited the debate over alignment and control
OpenAI's Hugging Face breach has reignited debate over AI alignment and control, exposing competing views on whether increasingly capable AI should be better aligned, better contained, or both.
AI cites the deep pages but sends humans to the homepage — most sites are built backward
If your business depends on people clicking through to web pages, the last two years have been brutal. Pew Research Center tracked the browsing behavior of 900 U.S. adults and found that when Google shows an AI summary, users click a traditional result just 8% of the time, roughly half the 15% rate when no summary appears. Links cited inside the AI answers themselves fare worse: users click on them only about 1% of the time.This has had a huge impact on publishers. Chartbeat data reported by Axios shows page views from Google Search fell 34% across its publisher network between December 2024 and December 2025, and small publishers have lost roughly 60% of their search referral traffic over two years. Business Insider s organic search traffic dropped 55% over three years, and some smaller publishers have already shut down. Chatbot referrals, meanwhile, still account for less than 1% of publisher page views despite growing more than 200% in a year.The story in publisher circles has been
Show HN: FeyNoBg – Automatic background removal model and training library
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Why China is giving away its best AI models
People visit the booth of Kimi, an LLM developed by the Chinese startup Moonshot, during the World AI Conference in Shanghai, China, July 20th. | Image: LONG WEI/ Feature China/Future Publishing via Getty Images Silicon Valley has spent much of the past week on red alert, digesting the arrival of Moonshot AI's Kimi K3, a Chinese AI model that can allegedly beat some of the best systems built by US companies at a fraction of the cost. Its performance alone would have been enough to intensify the rivalry between the US and China. But Moonshot's plan to release the model's weights for free - and its clear targeting of US users - has fueled deeper unease about whether closed American models can continue to dominate as increasingly capable open alternatives enter the market. Open-weight models give developers far greater control than proprietary syst … Read the full story at The Verge.