Best Data De-Identification Tools - Page 5

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

Total Products under this Category: 114

Category Stats (Oct 2026)

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

Last updated: October 22, 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
  • 114+ 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: Informatica Data & AI Governance, Privacy, IBM InfoSphere Optim Data Privacy, Tonic.ai, VGS Platform, Tumult Analytics, brighter AI, Limina, and Evervault.

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

5G Core Network Solution

5G speeds will create new experiences for consumers. Programmable networks, slicing, and narrowband devices will mean new classes of business applications. In sum, 5G will transform the role of mobile networks in society. Are you ready? Learn more: https://www.alepo.com/solutions/5g-core-network-solutions/

Who Is the Company Behind 5G Core Network Solution?

  • Seller: Alepo
  • Year Founded: 2019
  • HQ Location: Austin, US
  • LinkedIn® Page: www.linkedin.com
    156 employees on LinkedIn®
  • Phone: +1 (512) 879-1030

Acuity AutoRedact

Acuity AutoRedact is AI-powered redaction software that removes personally identifiable information from documents and videos. It detects and obscures faces, names, addresses, ID numbers, and other sensitive data in text, images, and video footage. Supporting formats like PDFs, Office files, emails, images, and videos, it enables bulk uploads, automatic detection, and user-controlled redaction via a review interface. Video redaction identifies individuals and vehicles, allowing selective visibility. The platform secures data with AES-256 encryption, TLS 1.3 transmission, and a "Process and Purge" policy that deletes files within 24 hours. Operating within UK/EU infrastructure, it complies with UK GDPR, ensuring data sovereignty. Acuity AutoRedact does not use uploaded data for AI training, generates audit logs for transparency, and supports Data Subject Access Requests and Freedom of Information disclosures.

Who Is the Company Behind Acuity AutoRedact?

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?

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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?

AI Video Redaction Software - Blur Faces in Video

AI Video Redaction Software - Blur Faces in Video is a Windows desktop program that finds heads in body cam, dashcam and CCTV recordings and covers them before a file leaves your office. Detection runs on the PC itself, so nothing is uploaded. When you need to blur faces in video for a FOIA or DSAR response, you load the files, pick what to hide and start one batch. 🔰 How to use the face blur software 1. Drag your files into the window or click Add Files. 2. Tick what to detect: Heads, Full body, License plates, or Custom for an area you draw yourself. 3. Pick a hide style: Smooth blur, Pixelation or Black square. 4. Scrub the timeline. Blue boxes mark each detection and the cover is already visible under them. 5. Adjust Face confidence and Detection frequency if a head is missed or a bright round object gets covered by mistake. 6. Add audio intervals to Mute or Beep when a name or an address is spoken. 7. Choose the destination folder and press Start. 👍 Why records and IT teams pick it - Offline by design. Frames, sound and metadata stay on the machine, which suits units that cannot send evidence to a cloud service. - Heads, not only frontal faces. Profiles, the back of a head, helmets, hoods and hats are covered, with any number of people per frame. - Manual areas for what the detector does not know: a logo, a house number, a tattoo, a screen. - Batch work on all CPU cores with no cap on the number of files. - Sound is handled in the same pass, so you do not need a second program to silence a spoken name. ✅ Who uses it - Police records units that redact body cam footage and interview room recordings before release. - Compliance and legal staff answering access requests who must blur faces in footage of clients, employees or witnesses. - Security teams that hand CCTV clips from a parking lot or a store to an insurer. - Journalists and creators who blur bystander faces in a clip before publishing. ❓ FAQ Does the software work fully offline? Yes. Detection and rendering happen locally, and the program needs no connection to process a file. Does it preserve the original video quality? Resolution, bitrate and frame rate are kept. Only the covered regions change, and the result is saved as MP4 with H.264 video and AAC audio by default. Is a GPU required? No. This video blur software runs on the CPU. Speed depends on resolution and on how often detection runs, and every second or third frame is enough for most material. Can it hide license plates? A plate detector with a separate confidence slider is included, but it misses some plates. Check the preview and draw a manual area where needed. ℹ️ Free trial: the trial version processes any number of files and adds no watermark, but it shortens the output. As a video redaction tool it helps you prepare recordings for release and does not certify legal compliance. Requirements: a Windows PC, no graphics card needed.

Who Is the Company Behind AI Video Redaction Software - Blur Faces in Video?

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?

anosave

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 anosave?

  • Seller: anosave
  • Year Founded: 2026
  • HQ Location: Vienna, Austria

BlindSpot

BlindSpot is a standalone AI redaction tool for photos, built for teams that need identifying details removed before images are shared, published, or archived. BlindSpot automatically detects and redacts: - Faces - License plates - Tattoos - People (full-person anonymization) - Text - Logos - Custom targets — type what you want removed (e.g. "company logo", a bag brand) Most redaction tools stop at faces and plates. BlindSpot covers all of these in a single pass, so there is no chaining of separate tools. The Custom target means you are not limited to a fixed list — name an arbitrary object and it gets found and covered. You can let BlindSpot protect everything it detects, or select individual objects yourself when only some of them need to be covered. It accepts PNG, JPEG, WebP, AVIF and HEIC up to 10 MB. BlindSpot is built on CNAPS Studio's AI model infrastructure, reusing proven detection and segmentation models rather than a from-scratch build. Pricing is pay-as-you-go: one-time credit packs from $4.99 (10 credits), no subscription, and unused credits do not expire. New users get their first 3 images redacted free. Best suited for: - Media companies preparing photos for broadcast or publication - Legal teams redacting evidence photos for e-discovery or FOIA disclosure - Compliance teams handling GDPR/CCPA-sensitive imagery - Real estate, mapping and documentation teams publishing photos at volume, where blurring by hand does not scale BlindSpot is made by CNAPS.AI, which also makes CNAPS Studio and PanoSharp.

Who Is the Company Behind BlindSpot?

  • Seller: CNAPS.AI
  • Year Founded: 2025
  • HQ Location: FREMONT, US
  • LinkedIn® Page: linkedin.com
    7 employees on LinkedIn®

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?

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?

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