Best Data De-Identification Tools - Page 5

How Many Data De-Identification Tools Products Does G2 Track?

Total Products under this Category: 113

Category Stats (Sep 2026)

  • Average Rating: 4.44/5 The average rating of products in this category, based on all submitted ratings

Last updated: September 01, 2026

How Does G2 Rank Data De-Identification Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 800+ Authentic Reviews
  • 113+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data De-Identification Tools

G2 Grid® for Data De-Identification Tools plotting products by satisfaction and market presence

Highlighted products: IBM InfoSphere Optim Data Privacy, Tonic.ai, Tumult Analytics, Informatica Data & AI Governance, Privacy, brighter AI, VGS Platform, Limina, and Evervault.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-de-identification/grids.json?focus%5B%5D=ibm-infosphere-optim-data-privacy&focus%5B%5D=tonic-ai&focus%5B%5D=tumult-analytics&focus%5B%5D=informatica-data-ai-governance-privacy&focus%5B%5D=brighter-ai&focus%5B%5D=very-good-security-vgs-platform&focus%5B%5D=limina&focus%5B%5D=evervault-2022-11-22)

Agent Mask

Agent Mask helps Snowflake teams de-identify sensitive text and documents without moving PII or PHI to an external redaction API. Install Agent Mask from Snowflake Marketplace, call one SQL function, and return de-identified output plus entity evidence directly inside Snowflake. It is built for the messy data teams actually need to use: support tickets, call transcripts, clinical notes, intake forms, chat logs, AI outputs, PDFs, scanned PDFs, images, DICOM files, DOCX, RTF, and ZIP archives. Because Agent Mask runs as a Snowflake Native App inside the customer’s Snowflake account, sensitive data stays where it already lives. There are no file transfers to Agent Mask, no external processing pipeline, and no separate API writeback workflow to govern. Run it wherever you already run SQL: worksheets, Airflow DAGs, dbt models, Dynamic Tables, stored procedures, notebooks, and scheduled tasks. Agent Mask is useful when redacted data still needs to support analytics, AI/ML, QA, support review, audits, or governed sharing. Teams can choose how each entity type is handled, including readable placeholders, fixed labels, character masks, deterministic hashes, synthetic replacements, reversible encryption, detect-only mode, and entity labels. It also supports custom entities, identity-aware consistency, and entity coreference resolution, so repeated references to the same person or organization can stay aligned across related text. Responses can include analyzer results, an entity ledger, detected values, replacements, document metadata, and redaction metadata for review. Use Agent Mask when your Snowflake warehouse contains valuable text or files that are too sensitive to hand directly to analysts, models, partners, or downstream systems.

Who Is the Company Behind Agent Mask?

AI Data Risk Audit

Enkrypt AI's Data Risk Audit is a comprehensive solution designed to ensure that your data is primed and secure for integration into Generative AI (Gen AI) applications. By identifying and mitigating potential risks within your data, this audit enhances the reliability, compliance, and overall performance of AI systems.

Who Is the Company Behind AI Data Risk Audit?

AI Risk Removal

Enkrypt AI's Risk Removal with Guardrails is a comprehensive solution designed to enhance the security and reliability of Generative AI applications. By implementing customized, enterprise-ready guardrails, this platform proactively identifies and mitigates vulnerabilities, ensuring AI systems operate within defined safety parameters. This approach not only safeguards against potential threats but also maintains compliance with industry regulations, allowing organizations to deploy AI solutions confidently.

Who Is the Company Behind AI Risk Removal?

anonymization.ai

Anonymization.ai is a German AI that automatically anonymizes or pseudonymizes sensitive data in all kinds of documents while keeping the original document format. It makes GDPR-compliant document processing possible without any manual effort.

Who Is the Company Behind anonymization.ai?

Anonymizer

Anonymizer is a privacy-first Windows application that helps users find, review, and redact sensitive information in documents. It is built for professionals and organizations that work with confidential documents and need support for reducing exposure of personal data such as names, addresses, phone numbers, identifiers, and other sensitive information. Anonymizer processes documents locally on the user’s own device. Customer documents are not uploaded, stored, or used for training as part of normal product use. The product supports document anonymization and pseudonymization workflows, including rule-based detection, entity recognition, masking, redaction, and review before export. Users remain responsible for verifying outputs before use. Anonymizer is developed and sold by Imaging Future ApS, Denmark, and distributed via ec2act.com.

Who Is the Company Behind Anonymizer?

BlurFaces

BlurFaces helps teams and professionals blur faces in photos and videos online before sharing or publishing. It combines automatic face detection with manual masks for missed areas or sensitive objects, plus controls for blur strength and coverage. Photo processing runs in the browser by default, with video export built for privacy-safe review workflows.

Who Is the Company Behind BlurFaces?

CensorX

CensorX is AI-powered video editing software that automatically detects and censors license plates and faces in videos and images using advanced recognition algorithms. It identifies European license plates and pixelates them within seconds, requiring no manual input. Files can be uploaded via a drag-and-drop interface, accessible through web browsers and mobile apps for Android and iOS. The platform offers a free tier for basic license plate censoring with limited upload capacity and video length. Registered free accounts provide more storage and fewer restrictions, while a premium tier unlocks features like face censoring and HDR video processing. Premium accounts support larger files, unlimited video lengths, and exports in original quality. Privacy is ensured with automatic deletion of original files post-processing. Supporting dashcam, drone, and surveillance footage, CensorX delivers quick results, making it ideal for users without video editing expertise.

Who Is the Company Behind CensorX?

CIB PoP

CIB PoP (Protect our Privacy) is an AI-driven solution designed to ensure data privacy in document processing. By using intelligent algorithms, it automatically anonymizes and pseudonymizes personal data in documents, fully compliant with the General Data Protection Regulation (GDPR). This technology is optimized for business documents, including invoices and applications, ensuring data is securely removed while preserving context. With CIB PoP, businesses can safely share documents or use them for AI training without compromising privacy. The tool also integrates seamlessly into company systems, streamlining workflows while offering scalability and multilingual support.

Who Is the Company Behind CIB PoP?

DSGVO-KI-Filter

DSGVO-KI-Filter is a browser-based tool that replaces personal data in documents with placeholder tokens before the text is sent to an AI service such as ChatGPT, Claude or Azure OpenAI. All processing happens locally in the browser: nothing is uploaded and nothing is transmitted to a server before pseudonymization. This can be verified directly in the browser's network tab, so users do not have to take a privacy promise on faith - they can check that no request goes out. The detector recognizes names of people and organisations, addresses, IBANs, tax, VAT and company register numbers, national ID numbers and reference numbers, with detection patterns tailored to Austrian and German data formats. Supported file types are PDF, Word, Excel, CSV, HTML and plain text; scanned or image-only PDFs are not supported, since the tool does not perform OCR. Across several documents, the same original value always receives the same token. This keeps records comparable: an AI can match, compare and cross-check multiple documents without ever seeing a real name, address or account number. After the AI's reply comes back, the tokens are mapped back to the original values locally in the browser, with no manual bookkeeping. Multiple documents per session require a paid plan. Paid plans also add format-preserving DOCX/ODT export, encrypted tokens (AES-256-GCM), column selection for XLSX/PDF/CSV, a higher monthly AI request quota and an ad-free interface. The free plan can be used indefinitely without registration and already includes all detection types. DSGVO-KI-Filter runs as an installable, offline-capable progressive web app - no download or setup required to start. It supports GDPR-compliant workflows and is aimed at organisations that regularly send documents containing personal data to AI services: public administration, law firms, tax advisors, and HR or finance teams in Austria and Germany. It does not replace legal advice, and the German-only interface and AT/DE-tuned detection patterns limit its usefulness outside these markets.

Who Is the Company Behind DSGVO-KI-Filter?

Brandon Summers-Miller
BS
Researched and written by Brandon Summers-Miller
Updated October 3, 2024