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Microsoft has entered the code generation race with MAI-Code-One-Flash, a new model designed to turn plain language descriptions into working software. It's the company's first public step into a space already crowded with competitors, and it signals that Microsoft is pushing its AI ambitions well beyond the Copilot branding it's become known for.
On the security front, a newly disclosed vulnerability in LiteLLM — one of the more widely used tools for routing requests across AI models — allowed a low-privilege user to escalate all the way to admin access and achieve remote code execution. It's a sharp reminder that the infrastructure layer underneath AI systems carries its own serious attack surface, one that's growing faster than many teams can audit.
And speaking of auditing, a new survey of security leaders finds that nearly all of them are worried about the risks introduced by AI-generated code, yet a third of organizations still rely on manual code review before launch. That gap between anxiety and tooling tells a familiar story in enterprise technology — concern tends to outpace the organizational changes needed to actually address it.
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