Nandakishor M

Nandakishor M

Co-founder and building edge llm apps

About

I am a researcher and author working LLM/VLM and generative ai in general. Also teach students on foundations of AI in Udemy

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Tastemaker
Tastemaker
Gone streaking
Gone streaking

Forums

Why is everyone uploading their private code to cloud AI for security audits?

I have been thinking about a major irony in developer tools today where developers are copying and pasting their codebase, environment variables, and database connection strings into third party cloud models just to check their code for privacy compliance and security vulnerabilities. Uploading confidential source code to check for privacy compliance is itself a data disclosure, which violates basic data protection rules for healthcare, fintech, and defense teams. I spent the past few months building a fine tuned four billion parameter model that runs fully offline on Apple Silicon Metal GPUs, scanning files at twenty milliseconds per file and repairing vulnerabilities with zero bytes leaving the laptop. How does your team currently handle code security when using artificial intelligence tools, and do you require airgapped on device solutions for proprietary repositories?

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