The Mythos 'Breach' That Wasn't: What Healthcare Learns About Vendor AI Risk
When Anthropic's 'too dangerous to release' Mythos AI leaked within hours of announcement, headlines blamed sophisticate...
Read MoreExperienced analysis, tutorials, and best practices in cybersecurity
When Anthropic's 'too dangerous to release' Mythos AI leaked within hours of announcement, headlines blamed sophisticate...
Read MoreNew research analyzed 428 LLM relay servers and found 9 actively injecting malicious code into AI tool calls. For health...
Read MoreOne day after Anthropic announced Claude Mythos was too dangerous to release, security startup AISLE showed that $0.11/M...
Read MoreLiteLLM, the Python library with 95 million monthly downloads powering nearly every AI agent framework, was compromised ...
Read MoreThe UK AI Safety Institute's independent evaluation of Claude Mythos Preview reveals critical nuances missing from vendo...
Read MoreAI agents integrated with GitHub Actions can be hijacked via prompt injection to steal API keys and tokens. Anthropic, G...
Read MoreMicrosoft's VS Code 1.115.0 introduces parallel AI agent sessions with worktree isolation, permission controls, and audi...
Read MoreWhile healthcare debated AI governance, adversaries built autonomous attack systems. GTG-1002—the first documented AI-or...
Read MoreAI assistants are collapsing the patient journey into single conversations, and healthcare organizations aren't ready. W...
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