Protecting artificial intelligence systems across their entire lifecycle, from securing training data integrity all the way to defending against adversarial attacks
32 articles
GitHub's June 1 shift to usage-based billing triggered immediate backlash when companies discovered their costs could in...
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 MoreWhile healthcare debated AI governance, adversaries built autonomous attack systems. GTG-1002—the first documented AI-or...
Read MoreAnthropic's unreleased Claude Mythos Preview model found thousands of zero-day vulnerabilities across every major OS and...
Read MoreAI coding assistants let developers write code faster than ever—but speed decouples volume from understanding. IBM's Pat...
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