
AI Security: A Training Ground to Hack LLMs (Legally)
Curious how hackers exploit AI? A new platform lets you get your hands dirty, learning to break models without real-world damage.
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Saturday, August 1, 2026
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11 results for "security"

Curious how hackers exploit AI? A new platform lets you get your hands dirty, learning to break models without real-world damage.

Ever notice an AI model start saying weird things? Someone's built a way to check its "trustworthiness" before disaster strikes.
Meta wants to change WhatsApp, but not everyone is on board. India and Somalia have put their foot down, fearing serious security issues.

Someone finally decided to make it easy and safe to connect your crypto wallet without jumping through hoops. Meet OpenClaw, a TypeScript toolkit for MetaMask that lets you manage transactions across all Ethereum-compatible blockchains without ever touching your seed phrase.
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Picture a tech giant putting the brakes on a powerful AI assistant. Alibaba has reportedly banned Claude Code, classifying it as high-risk software.

Donald Trump declared that Anthropic was a national security threat — then clarified he might have overreacted a touch. One of those moments where politics and AI collide and someone inevitably says something they don't quite mean.
While everyone waited for stricter AI rules, Trump signed an executive order that basically buys time. Nothing earth-shattering, but not exactly a game-changer either: a tactical move while the White House figures out what to actually do with cutting-edge AI models.
Someone just trained an AI to read security bulletins and understand how hackers exploit software holes. Meet exploitintel/cve-cwe-qwen35-9b, the new model on HuggingFace that could become a serious ally in the fight against bugs that shouldn't exist in the first place.

A new GitHub project called WorpGPT has appeared—basically a collection of techniques to test how resistant chatbots are to dirty tricks and sneaky prompts. In other words: it's the gym where security experts learn to break AI, so they know how to fix it.