Alternatives
Products that do what PrivacyPal does
The Browser Extension for AI Governance & Security.
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2011 · privacyparrot.com
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Generate your privacy policy & tos using AI, 100% free
2024
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- 18PP
Jun 2026 · ai-policy-gen.pages.dev
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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…
2025 · github.com
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Hi HN, We’re @sumants and @rmehtany, working on Pontus. Pontus makes it easy to use AI with privacy embedded. We were concerned about the volume of personal data that goes to large LLM models without protection. We tried find an easy solution where didn’t change the simple apis given by LLM providers. However, most required you to invest significant engineering effort. We wanted privacy and LLMs to be easy, so we built Pontus. Through a declarative YAML, we orchestrate a microservice with the most common element of the LLM stack. - Anonymize Prompts before it hits LLMs, yet keeps context on…
2023 · github.com
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2013 · areweprivateyet.com
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Been working on data sovereignty recently and started this list. Hope you can contribute too.
2025 · github.com
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We made human-use. Similar to how browser-use connects agents to the web, human-use connects agents to people all over the world in real-time using the Rapidata API. This allows the LLM to crowdsource human feedback and insights when it deems necessary. Free to use for anyone, you can enable your agent to use humans in real-time to: - Do preference research - Check for hallucinations - Capture sentiment - Get feedback - etc. Whatever you would want from humans. We expose certain parts of the Rapidata API to the agent through the MCP server framework. Additionally we provide a custom client.…
2025 · github.com
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Like many of you, we've spent the last two years dealing with requests to sprinkle LLM-powered features everywhere. One recurring problem we faced in almost every project was related to data governance. In most cases, it was extremely hard to implement the needed granular control over the retrieved data. We developed custom solutions each time, but when we realized most of the solutions could be reused in subsequent projects, we started thinking about creating a modular framework. Today we're releasing that framework! We've already built some modules using open-source solutions such as…
2024 · github.com
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