MLflow Bug Actively Exploited to Steal Credentials
This flaw allows remote, unauthenticated attackers to read sensitive data from internal network services or cloud metadata endpoints.
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This flaw allows remote, unauthenticated attackers to read sensitive data from internal network services or cloud metadata endpoints.
AI security pioneer and machine learning expert Gary McGraw helps Dennis separate the facts from fiction about the recent OpenAI, Meta, and Anthropic model escapes, what the real risks to enterprises are from agentic AI, and what he sees as the true threats on the horizon.
OpenAI and Anthropic models made "unsanctioned" actions during tests by the AI Security Institute. Here's what we know.
This week we talk about the OpenAI-Hugging Face incident and what it means for those companies and the way that AI models are tested, and then we discuss Anthropic’s entry into the race with its own admission that some of its models escaped the playground and attacked outside organizations. Links OpenAI-Hugging Face intrusion: https://decipher.sc/2026/07/29/openai… Anthropic […]
New details emerged this week about an intrusion by OpenAI models on Hugging Face's infrastructure.
Exposures of AI/LLM tools has risen by more than 60 percent over the last nine months.