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Google is introducing Gemini 3.5 Flash Cyber as a cost-effective alternative for automated vulnerability scanning within its CodeMender platform. This specialized model demonstrates competitive performance against larger systems like Anthropic's Mythos, enabling high-speed analysis of multiple code paths to identify security flaws efficiently. The launch highlights an industry shift toward optimizing inference costs while maintaining robust capabilities in AI-driven cybersecurity operations.
Google launches a cheaper alternative to large AI security models like Mythos
Google is launching Gemini 3.6 Flash alongside a new security model dedicated to quickly finding and patching security vulnerabilities. In a blog post on Tuesday, Google describes Gemini 3.5 Flash Cyber as a "cost-efficient and highly capable alternative" to larger, more expensive AI systems, such as the one offered by Anthropic's Mythos. The cybersecurity model is built upon Gemini 3.5 Flash and will be available first to governments and trusted partners via CodeMender, Google's security-focused coding agent. As noted by Google, CodeMender can call upon 3.5 Flash Cyber "multiple times at high speed and low cost," allowing the AI agents to … Read the full story at The Verge.
Gemini 3.5 Flash integrates into CodeMender, allowing it to identify and patch vulnerabilities. Gemini 3.5 Flash integrates into CodeMender, allowing it to identify and patch vulnerabilities. is a news writer who covers the streaming…
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