Alternatives
Products that do what TrustBoost PII Sanitizer does
Context-aware PII sanitization for autonomous AI agents
- 1

- 2AL
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…
Dec 2025 · medium.com
- 3

- 4

- 5

Get the most out of AI without handing them your data.
Jun 2026 · onyri-sanitize.com
- 6

Free MCP for security AI: live BGP, DNS, threat graph
May 2026 · whisper.security
- 7LP
OP here. I built this because I recently caught myself almost pasting a block of logs containing AWS keys into Claude. The Problem: I need the reasoning capabilities of cloud models (GPT/Claude/Gemini), but I can't trust myself not to accidentally leak PII or secrets. The Solution: A Chrome extension that acts as a local middleware. It intercepts the prompt and runs a local BERT model (via a Python FastAPI backend) to scrub names, emails, and keys before the request leaves the browser. A few notes up front (to set expectations clearly): Everything runs 100% locally. Regex detection…
Dec 2025 · github.com
- 8

- 9PS
What PII-Shield does: It's a K8s sidecar (or CLI tool) that pipes application logs, detects secrets using Shannon entropy (catching unknown keys like "sk-live-..." without predefined patterns), and redacts them deterministically using HMAC. Why deterministic? So that "pass123" always hashes to the same "[HIDDEN:a1b2c]", allowing QA/Devs to correlate errors without seeing the raw data. Key features: 1. JSON Integrity: It parses JSON, sanitizes values, and rebuilds it. It guarantees valid JSON output for your SIEM (ELK/Datadog). 2. Entropy Detection: Uses context-aware entropy…
Feb 2026 · github.com
- 10

- 11LP
I 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/
Jun 2026 · github.com
- 12

- 13

- 14

- 15

- 16

Stop leaking company secrets to AI. 100% offline PII scrub
Mar 2026 · privacyscrubber.com
- 17

- 18
- 19

- 20

- 21

AI-powered SAST Security That Actually Understands Your Code
Oct 2025
- 22

- 23

- 24

Ranked by how close each launch is in meaning, then by votes. Refine with a description →