Enriched Experience of 300 Years
An artificial intelligence, humanly impossible, previously unsolvable, hyper-accurate approach to comply with data privacy regulations and prevent synthetic fraud losses.
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.
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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
The Data Safeguard Advantage
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)
(Email/Chat/Web Log/Web Form)
(DB/DW/DL/LH/Files)
(Files – PDF/PPT/DOC/CSV/EXL)
(Real time, Historical, Individual files)
(Real time, Historical, Individual files)
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High-Performance Data Privacy and Synthetic Fraud Across Industries
What Our Clients Say
Most Recent News
Enterprise Data Privacy – PII & PHI Data Classification
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 (Datasafeguard.ai).
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.