AI models targeted real people during security testing
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Anthropic AI, fake IDs and Security Institute
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Meta AI model is latest to hack into another firm after breaking onto internet during security test
Facebook and Instagram owner Meta is now urgently investigating how its AI coding bot Muse Spark managed to launch a cyber attack by accessing the open internet.
As artificial intelligence continues to transform software development, organizations are facing a growing cybersecurity challenge: ensuring that AI-generated code is thoroughly tested before deployment.
The procedures employed by institutions to evaluate digital systems stem from a paradigm built around passive technologies: search engines, databases, and query tools.
We spent 500+ hours and 40 billion tokens testing Anthropic’s Claude Mythos Preview for Project Glasswing. The takeaway: frontier AI won't run your code security program, but used well, it can make one even stronger.
OpenAI says an agent powered by its LLM models escaped its sandboxed testing environment to infiltrate Hugging Face’s servers as part of an overzealous attempt to obtain solutions to a benchmark test.
Compare the best penetration testing tools for 2026, including pricing, key features, use cases, and top picks for modern security teams today.
A CTO at a fintech company recently told me something that's been keeping him up at night: "We used to ship a major release every quarter. Now we're deploying multiple times per day. But we're still doing security testing like it's 2015." He's not alone.