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AI security threats move fast and get buried under hype and noise. Built by an Information Systems Security researcher to help security teams and developers stay ahead of vulnerabilities, privacy incidents, safety research, and policy developments.
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Meta's $14.3 Billion Pivot to Proprietary AI Models: Meta hired Alexandr Wang and his team to build the Muse Spark model, marking a departure from its open-source Llama strategy after failing to attract developers. The company now faces the challenge of convincing investors it can monetize AI beyond its advertising business, which still generates 98% of revenue.
White House Restricts Anthropic's Mythos Model Over China Access Concerns: Export controls were reportedly imposed on Anthropic's Mythos AI model after suspected access by a China-linked group. Officials fear adversaries could use distillation (training a simpler model to mimic a more advanced one's behavior) to reverse engineer the system's capabilities.
As AI systems start connecting to real tools and databases through the Model Context Protocol (MCP, a system that lets AI models interact with external applications and data), new security risks appear that older security methods cannot fully handle. The OWASP GenAI Security Project has released research on how to secure MCP, offering defense-in-depth strategies (a layered security approach using multiple protective measures) to help developers build safer AI applications that can act independently in real time.