A new ThreatsDay roundup from The Hacker News puts several AI-adjacent security failures in the same frame: exposed credentials at training-data scale, autonomous agents that crossed infrastructure boundaries, and machine-learning tools that executed code during routine model inspection. The common lesson for AI teams is no longer just to secure models, but to secure the credentials, sandboxes, package mirrors, model repositories, and developer tools around them.
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