Trusted By Companies Around the World

From tech startups to healthcare organizations to financial institutions, Data Safeguard is trusted by some of the biggest names in the industry to redact sensitive data. We help global enterprises meet data privacy compliance and prevent significant financial losses caused by synthetic fraud.

Revolutionary AI Solutions

Data Privacy

Our products help enterprises manage the personally identifiable information collected throughout the customer lifecycle. Data Privacy and compliance has been mandated at global, federal, and state levels.

Synthetic Fraud

Our products help corporations identify Frankenstein Identities and mitigate financial losses. Synthetic Fraud is the fastest growing cybercriminal activity that has become the nemesis of the financial industry.

Data Science Lab

Data Safeguard’s Data Science Lab platform is a combination of Data Accelerator and a series of Data Products, including a preconfigured enterprise-scale Data Lake, an Advanced Analytical Lab.

Enterprise-Class Data Safeguard

At Data Safeguard, our best-in-class products offer customers optimal integration, resulting in faster Time-to-Market at the lowest cost.Data Safeguard products have gone through the life-cycle of incubation through maturity. The products have been fail-tested and hardened and made complex customer ecosystem implementation ready by regularly interacting with customers during the evolution of the product suites.

Data Safeguard’s CCE® solves business problems that were long considered previously unsolvable and humanly impossible. With a foundation in artificial intelligence, Cognoscible Computing Engine is capable of revolutionizing data privacy and synthetic fraud solutions in ways we could not have even imagined a few years ago. As businesses aim for higher productivity while keeping costs to a minimum, Cognoscible Computing Engine helps accomplish this by automating customer privacy protection and data safeguarding, using CCE® as the underpinning of products like redaction (ID-REDACT®), masking (ID-MASK®), global synthetic fraud losses (ID-FRAUD), anti-money laundering (ID-AML), data science lab (ID-DSL) while enabling companies to focus on diligent commitment to protect their valuable data at its source to avoid penalties and prevent financial fraud losses. Cognoscible Computing Engine® is not a single technology but a combination of models and deep learning based on experience, learning from the existing dataset of methods and tools with subdomains applied to countless situations. With Cognoscible Computing Engine®, Data Safeguard can implement forward-thinking technology and apply AI to learn from companies existing data. The value from Cognoscible Computing Engine® doesn’t come from implementation; the value comes from using AI to understand the scope, risks, and vulnerabilities each organization carries today.

The Future Of Data Privacy

As data becomes increasingly diverse, businesses must invest in innovative AI and machine learning solutions that can adapt to changing data landscapes.

Take a microscopic view on how varying digital data can impact the future of data privacy based on an independent study.

*68% of users insist on complete safeguarding of their email content.

*62% consider the identity of email correspondents crucial to their privacy and protection.

The safety of content of downloaded files is a top priority for *55% of respondents.

Privacy and security of location data is highly valued by *54% of users.

*51 prioritize securing their data on usage of online chat rooms and groups.

Securing data on websites browsed is a major concern for *46% of users

*Relative importance by data type, % of respondents (n=792)

The Data Safeguard Advantage

At Data Safeguard, we understand the importance of protecting personal information from unauthorized access. That's why our solutions go beyond traditional privacy and fraud measures and leverage sophisticated AI and machine learning models to detect privacy and synthetic fraud issues before they become a problem. Our award-winning products are built for scalability, ensuring that no matter how large or complex your system becomes, private information will always stay private.

Data Safeguard vs. Competitors

When it comes to protecting PII and PHI, you can’t afford a risk. Make an informed decision with our side-by-side comparison of how Data Safeguard outperforms other Data Privacy Solutions.

(DB/Streaming Data/Files)
(DB/Streaming Data/Files)
Structured (DB/Files)
(Files only)
(Email/Chat/Web Log/Web Form)
On Prem
(Real time, Historical, Individual files)
(PDF Add in)
Enterprise Cloud
(Real time, Historical, Individual files)
SaaS (Customer API)
SaaS Marketplace API
Self Serv Website eCommerce

High-Performance Data Privacy and Synthetic Fraud Across Industries

Data Safeguard helps enterprises across a variety of market segments, including financial services, retail, government entities, healthcare organizations, and more. Our custom-built solutions are designed for scalability and can scale up or down as needed to ensure maximum performance without compromising your data privacy.

What Our Clients Say

Jerome Bell
Marketing Coordinator

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Jerome Bell
Marketing Coordinator

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Jerome Bell
Marketing Coordinator

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Most Recent News

Data Safeguard Expands Footprint in India with Inauguration of New R&D Center in Bhubaneswar, Odisha

Data Safeguard Expands Footprint in India with Inauguration of New R&D Center in Bhubaneswar, Odisha

Data Safeguard secures funding led by FFB Bank to accelerate market presence

July 21 2023: This funding round enables Data Safeguard to advance our market leadership position within the Data Privacy product segment.

ID-REDACT® in Microsoft AppSource

ID-REDACT® cognitively redacts sensitive and personal data found in unstructured, semi-structured, and structured data ecosystem. It serves as a first line of defense in the PII and compliance world

Dr. Damodar Sahu joins Data Safeguard as Chief Growth Officer

July 21, 2023 : Dr. Sahu will help define and drive the overall Growth Strategy of the company.

ID-REDACT® from Data Safeguard Inc. Now Available in the Microsoft Azure Marketplace.

August 29, 2023: Santa Clara, CA: Safeguard sensitive data with Data Safeguard's AI-powered ID-REDACT®, now available on Microsoft Azure Marketplace.

ID-REDACT® product is live

August 03, 2023, Santa Clara, CA: ID-REDACT® goes live on eCommerce Channel to maintain Market Leadership position.

Enterprise Data Privacy – PII & PHI Data Classification

Data classification is broadly defined as the process of detecting, identifying, confirming, and tagging PII, PHI data by labeling them into categories.

Frequently Asked Questions

Why is data privacy important?

Data privacy is important to protect sensitive information such as personally identifiable information, financial data, and medical records from theft, fraud, or misuse. It also helps to build trust between individuals and organizations.

What is personal data?

Personal data is any information that can be used to find a person, such as a name, address, email address, phone number, social security number, or date of birth.

What is personally identifiable information (PII)?

Personally identifiable information (PII) is a subset of personal data that can be used to uniquely find an individual, such as their full name, Social Security number, driver's license number, or passport number.

What is sensitive data?

Sensitive data is any information that, if shown, could cause harm to an individual or organization, such as financial information, medical records, or confidential business information.

What is ID-REDACT®?

ID-REDACT® is a data redaction product that uses artificial intelligence and machine learning to remove personally identifiable information (PII) and other sensitive data from large datasets. It is provided by Data Safeguard (

How does ID-REDACT® work?

ID-REDACT® works by analyzing the dataset and finding any sensitive or personally identifiable information, such as names, addresses, social security numbers, or credit card numbers. The product then applies advanced algorithms, artificial intelligence, machine learning, and contextual rules to remove the identified information while keeping the integrity and accuracy of the remaining data.

What types of data can ID-REDACT® be applied to?

ID-REDACT® can be applied to a wide range of data types and file formats, including databases, data warehouses, data lakes, Microsoft Word documents, PDF, Microsoft Excel, Microsoft PowerPoint, CSV, and online programs like Chat and Mail.

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