Your approach to minimizing data exposure by only sending headers and samples while keeping the full CSV client-side is a solid strategy for enhancing privacy in local apps.
Security & Threat Modeling for Local Apps
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Appreciate that, @MasterCraft. The biggest trap in the industry right now is treating the cloud LLM as the default data store. By restricting the payload strictly to schema/headers and keeping the raw ledger client-side, we enforce a zero-trust boundary. It shifts the heavy lifting to the edge, but it completely removes the compliance and security liabilities. Are you working on any local-first or edge-compute architectures at the moment?
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Spot on, Gift. The 'local is automatically safe' myth is a massive blindspot in the industry right now. Just because data doesn't leave the device doesn't mean it's secure from malicious local processes or lazy logging. We built Pocket Portfolio with an 'assumed breach' mentality even at the client level—ensuring the Context Engine only holds sanitized state in memory during inference, with zero plaintext logging. What's the most common local vulnerability pattern you see teams ignoring these days?
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