TrustBoost PII Sanitizer
Context-aware PII sanitization for autonomous AI agents
TrustBoost PII Sanitizer launched on May 21, 2026 with 1 votes.
What it does
TrustBoost sanitizes PII from text before it reaches LLMs — emails, phone numbers, national IDs, private keys, and financial data. Context-aware: 5 modes (legal/financial/medical/code/general). Supports 8 languages including LATAM identifiers (RFC, CPF, CUIT). MCP compatible. No SDK — single POST request. 50 free sanitizations with TRIAL mode.
Enter any piece of text (and optionally select a context like legal or financial) and the app will automatically find and redact personal data such as emails, phone numbers, IDs, and secret keys. I...
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- ALA local-first, reversible PII scrubber for AI workflowsDec 2025 · medium.com · ▲38
Hi HN, I’m one of the maintainers of Bridge Anonymization. We built this because the existing solutions for translating sensitive user content are insufficient for many of our privacy-concious clients (Governments, Banks, Healthcare, etc.). We couldn't send PII to third-party APIs, but standard redaction destroyed the translation quality. If you scrub "John" to "[PERSON]", the translation engine loses gender context (often defaulting to masculine), which breaks grammatical agreement in languages like French or German. So we built a reversible, local-first pipeline for Node.js/Bun. Here…
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AI Safeguard2025 · aisafeguard.co.uk · ▲14Prevent sensitive data leaks in popular LLM's like ChatGPT
Local personal data redaction for any AI toolsJun 2026 · github.com · ▲12I built the desktop app that detects and redacts personal data (or PII) locally without sending any text to server. It supports rule-based filtering and AI model-based redaction (eg openai privacy filter). It's open source and free. Please check out the repo and https://pii-gui.vercel.app/
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