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Automated Data Compliance

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  10. 10PA
  11. 11MA

    Hi HN! We are excited to show you modguard - a Python tool we built to enforce a modular, decoupled package architecture. We built modguard to solve a recurring problem that we've experienced on software teams - code sprawl. Over time, cross-module imports would tightly couple together what used to be independent domains, and eventually create "balls of mud". This made it harder to test, and harder to make changes. Mis-use of modules which were intended to be private would then degrade performance and even cause security incidents. This would happen for a variety of reasons: - Junior…

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    AI audit ready in under 1 hour

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  16. 16OS

    We’re building an open-source tool that makes it easy to expose secure, LLM-optimized APIs on top of your structured data—without manually designing endpoints or worrying about compliance. AI agents and LLM-powered applications need structured access to data, but traditional APIs and databases weren’t built with AI workloads in mind. Our tool automatically generates APIs that: - Filter out PII & sensitive data to comply with GDPR, CPRA, SOC 2, and other regulations. - Provide traceability & auditing, so AI apps aren’t black boxes, and security teams stay in control. - Optimize for AI…

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  17. 17AT

    Hi HN, I’m a solo founder, and I’ve been working on an AI tool that helps companies and organizations navigate and comply with EU regulations. The platform leverages AI to provide insights, research capabilities, and compliance assistance, aiming to reduce the complexity and time spent dealing with regulatory requirements. Compliance with EU regulations (like GDPR, labor laws, and industry-specific rules) can be overwhelming, especially for SMEs and startups. As someone passionate about tech and legal simplification, I saw an opportunity to create a tool that streamlines this process,…

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    Hey HN, I wanted to share something I’ve been working on: *RAG-Guard*, a document AI that’s all about privacy. It’s an experiment in combining Retrieval-Augmented Generation (RAG) with AI-powered question answering, but with a twist — your data stays yours. Here’s the idea: you can upload contracts, research papers, personal notes, or any other documents, and RAG-Guard processes everything locally in your browser. Nothing leaves your device unless you explicitly approve it. ### How It Works - * Zero-Trust by Design*: Every step happens in your browser until you say otherwise. - * Local…

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  23. 23SA

    Hey HN, We know from experience that a qualitative understanding of critical data segments is necessary when developing ML models. Better tooling makes finding these data slices faster, more systematic and helps to communicate with domain experts. We built sliceguard to go from a raw dataset to an interactive report on critical data slices with just 3 lines of code: https://github.com/Renumics/sliceguard Behind the scenes, we use hierarchical clustering and explainable AI techniques to detect and rank data slices based on features, metadata and embeddings. Here is some…

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