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Data Safeguard

by Data Safeguard · Since 2021
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorData Safeguard
Year launched2021
StatusActive
Location5201 Great America Pkwy Suite 441, Santa Clara, CA 95054
Countries servedGlobal
Languages12
Integrations2+
Free tierN/A
Free trialN/A
Contact salesYES

About Data Safeguard

Data Safeguard is a data protection software from Data Safeguard that helps secure sensitive information. It combines real-time monitoring, access control, and data encryption so organizations can protect their data from unauthorized access and breaches. This platform is designed to ensure compliance with data protection regulations and offers detailed reporting features for accountability. Data Safeguard enables users to identify vulnerabilities and potential threats, providing peace of mind regarding information security. Key capabilities: real-time monitoring access control data encryption compliance reporting vulnerability assessment Best for: organizations that need to protect sensitive data and ensure regulatory compliance.

Data Safeguard emerges as a sophisticated, AI-driven solution addressing critical challenges in data privacy compliance and the burgeoning threat of synthetic fraud. At its core lies the proprietary Cognoscible Computing Engine (CCE®), which the company asserts provides a hyper-accurate, humanly impossible, and previously unsolvable approach to these complex problems. The software suite, including ID-REDACT®, ID-MASK®, ID-FRAUD, and ID-AML, offers a comprehensive toolkit for managing personally identifiable information (PII) and mitigating financial losses. ID-REDACT® and ID-MASK® stand out for their ability to intelligently redact and mask sensitive data across all formats – unstructured, semi-structured, and structured data, including real-time streams like email and chat, as well as historical data in databases and files. This broad compatibility, coupled with a reported 94.5% accuracy in detecting, identifying, confirming, tagging, and redacting PII, positions Data Safeguard as a robust contender in the data protection landscape. The inclusion of a Data Science Lab further empowers enterprises with advanced analytical capabilities, helping them understand and mitigate data risks. The deployment flexibility of Data Safeguard is a significant advantage, catering to diverse organizational needs and IT infrastructures.

Pros & Cons

Pros
  • AI-first platform with deep learning to automate complex data privacy tasks
  • Robust product suite covering everything from redaction to AML
  • Enterprise scalability with both real-time and historical data capabilities
  • Compliance-ready across global regulations like GDPR, HIPAA, CCPA
  • Market credibility with presence in Azure, AppSource, and adoption by global enterprises
Cons
  • Lack of transparent pricing may deter SMBs or cost-sensitive buyers
  • Heavy AI focus may require higher onboarding/training for non-technical teams
  • Limited public documentation or self-serve trial information
  • Few confirmed integrations, despite API availability

Features

Key features

CCE® (Cognoscible Computing Engine)

AI/ML engine powering fraud detection, privacy, and compliance products.

ID-REDACT®

Intelligent redaction of sensitive data from structured and unstructured formats.

ID-MASK®

Applies advanced masking techniques to protect PII and PHI.

ID-FRAUD

Detects synthetic identities using AI pattern recognition.

ID-AML

Assists in Anti-Money Laundering compliance using intelligent anomaly detection.

ID-DSL

Combines data lake and analytics lab for deep data exploration and modeling.

Real-Time + Historical + Individual File Processing

Supports privacy tasks across data types, formats, and workflows.

Additional features

AI-powered privacy automation
Structured/unstructured/semi-structured data support
Real-time data scanning (email, web forms, logs, etc.)
Redaction and masking for PII and PHI
Synthetic fraud detection and identity risk scoring
Data science acceleration platform (ID-DSL)
Anti-money laundering compliance monitoring
Enterprise-scale scalability
Microsoft Azure & AppSource integration
SaaS APIs and eCommerce availability
On-premises, hybrid, and cloud deployment options
Privacy-aware file processing (PDF, CSV, DOC, EXL, PPT, etc.)
Seamless integrations with historical databases (DB, DW, DL, LH)
Email/chat/web privacy enforcement
Regulatory compliance alignment (GDPR, CCPA, HIPAA, etc.)
Global enterprise implementation readiness
Multi-industry applicability
Regular product updates and field-tested deployments
Privacy behavior insights (based on user data study)

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Global
Countries served
12
Interface languages
8
Billing currencies

Interface languages

EnglishFrenchGermanItalianSpanishPortugueseDutchRussianChineseJapaneseKoreanArabic

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇳CNY🇮🇳INR

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