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Data Safeguard

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About

Data Safeguard provides AI-powered solutions for data privacy and synthetic fraud prevention. Their offerings include ID-REDACT®, a data redaction product using AI and machine learning to remove PII and sensitive data from various data types and formats. They cater to diverse industries (finance, healthcare, government, retail, technology) with on-premise, cloud, API, and eCommerce options. The company emphasizes its use of cutting-edge AI, a global network of R&D centers, and a commitment to data protection and compliance. Their services are tailored to meet diverse business needs, ranging from real-time data stream processing to historical data redaction and individual file processing. Data Safeguard is trusted by major companies worldwide and has received funding to accelerate its market presence.

Platform
Web
Keywords
machine learningaidata privacysynthetic frauddata safeguard
Task
data redaction

Features

data privacy

scalable solutions

ai-powered

machine learning

compliance

data redaction

synthetic fraud detection

real-time and historical data processing

FAQs

Why is data privacy important?

Data privacy is crucial for safeguarding sensitive information like personally identifiable information, financial data, and medical records from theft, fraud, or misuse. It also fosters trust between individuals and organizations.

What is personal data?

Personal data encompasses any information usable to identify a person, such as name, address, email, 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 uniquely identifying an individual, like full name, Social Security number, driver's license number, or passport number.

What is sensitive data?

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

What is ID-REDACT®?

ID-REDACT® is a data redaction product leveraging AI and machine learning to remove PII and sensitive data from large datasets. It's offered by Data Safeguard (Datasafeguard.ai).

How does ID-REDACT® work?

ID-REDACT® analyzes datasets to identify sensitive or PII (names, addresses, social security numbers, etc.). Advanced algorithms, AI, machine learning, and contextual rules remove this information while preserving data integrity.

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

ID-REDACT® is applicable to various data types and file formats, including databases, data warehouses, data lakes, Microsoft Word documents, PDFs, Microsoft Excel, PowerPoint, CSV, and online programs like Chat and Mail.

What are the benefits of using ID-REDACT®?

Using ID-REDACT® helps organizations protect sensitive information, comply with data protection regulations (GDPR, CCPA), reduce data breach risks, and maintain customer trust.

What is Synthetic Fraud?

Synthetic fraud is identity theft where a fraudster creates a new identity using real and fake information to open fraudulent accounts or obtain loans/credit cards.

How does synthetic fraud work?

A fraudster combines real and fake information (e.g., a real Social Security number and a fake name) to create a "Frankenstein identity." This identity is then used to apply for credit, loans, etc., building a credit history over time.

Why is synthetic fraud difficult to detect?

Synthetic ID fraud is hard to detect because it uses a mix of real and fake information. Fraudsters may build a credit history over time, making the identity appear legitimate.

How can financial institutions detect synthetic fraud?

Financial institutions can detect synthetic ID fraud using advanced techniques like behavioral analytics and machine learning. They can verify the authenticity of personal information and check for suspicious activity.

Pricing Plans

Enterprise on Premise
Unknown Price

All products features are available

Realtime (Email, Chat, Web form and Weblogs) data streams can be integrated with ID-REDACT®

Historical data stores (Databases and Datalakes) can be integrated with ID-REDACT®

Individual files, (PDF, PPT, CSV, DOC and EXL) can be intergrated with ID-REDACT®

Enterprise on Cloud
Unknown Price

All products features are available

Realtime (Email, Chat, Web form and Weblogs) data streams can be integrated with ID-REDACT®

Historical data stores (Databases and Datalakes) can be integrated with ID-REDACT®

Individual files, (PDF, PPT, CSV, DOC and EXL) can be intergrated with ID-REDACT®

Customer API
$99.00 / monthly

3 different product versions available

Historical data stores (Databases and Datalakes) can be uploaded thru self serve API

Individual files, (PDF, PPT, CSV, DOC and EXL) can be uploaded thru self serve API

Marketplace API
Unknown Price

Historical and Individual file features are available

Historical data stores (Databases and Datalakes) within cloud network can be integrated with ID-REDACT®

Individual files, (PDF, PPT, CSV, DOC and EXL) stored within cloud network are automatically redacted

eCommerce
$49.00 / monthly

All products features are available

Individual files, (PDF, PPT, CSV, DOC and EXL) can be uploaded to automatically Detect, Identify, Confirm, Tag and Redact PII data elements within each supported document format

Job Opportunities

Data Safeguard favicon
Data Safeguard

AI/ML Engineer (3-5 years of experience)

Data Safeguard uses AI to protect data privacy and prevent synthetic fraud. They offer various solutions for different data types and deployment models.

engineeringonsiteBhubaneswar, INfull-time

Benefits:

  • Maximized benefits

  • Competitive Pay

  • Paid Time Off

  • Opportunity to work with a global team and clientele

  • Opportunity to potentially work in the United States headquarters

Education Requirements:

  • Bachelor's or Master’s degree in Computer Science, Data Science, or a related field

Experience Requirements:

  • 3-5 years of hands-on experience in developing and deploying machine learning solutions

Other Requirements:

  • Proficiency in Python and extensive experience with popular machine learning libraries such as TensorFlow, PyTorch, and scikit-learn

  • Demonstrated expertise in data pre-processing, feature engineering, and model evaluation techniques

  • Strong familiarity with deep learning frameworks and neural network architectures

  • Exceptional programming skills in Python and a proven ability to solve complex problems

  • Excellent communication skills and a collaborative mindset, with the ability to work effectively within a team

  • Keen attention to detail and the capacity to work autonomously in a fast-paced environment

Responsibilities:

  • Lead the development and implementation of machine learning models and algorithms in collaboration with the AI/ML team

  • Drive data pre-processing, feature engineering, and model evaluation to ensure the accuracy and efficiency of solutions

  • Conduct rigorous experiments, analyze results, and provide actionable insights to enhance model performance and effectiveness

  • Optimize model performance with large-scale datasets, employing advanced techniques and methodologies

  • Spearhead the integration of AI/ML models into our product ecosystem, seamlessly merging them into product features

Show more details

Microsoft Office 365 Administrator (3-5 years of experience)

Data Safeguard uses AI to protect data privacy and prevent synthetic fraud. They offer various solutions for different data types and deployment models.

Benefits:

  • Maximized benefits

  • Competitive Pay

  • Paid Time Off

  • Opportunity to work with a global team and clientele

  • Opportunity to potentially work in the United States headquarters

Education Requirements:

  • Bachelor’s degree in information technology, Computer Science, or related field

Experience Requirements:

  • 3-5 years of proven experience as an Office 365 Administrator or similar role

Other Requirements:

  • Strong understanding of Office 365 applications, services, and features

  • Knowledge of IT security best practices and experience implementing security measures within Office 365

  • Excellent troubleshooting and problem-solving skills

  • Familiarity with PowerShell scripting for Office 365 administration is a plus

  • Effective communication and interpersonal skills

Responsibilities:

  • Manage and administer Office 365 applications, including Exchange Online, SharePoint, OneDrive, Teams, and other associated tools

  • Implement and maintain user accounts, licenses, and security groups within the Office 365 environment

  • Configure and manage mailboxes, distribution lists, and other mail-related components

  • Facilitate the seamless integration and adoption of collaboration tools like Teams, ensuring efficient communication and collaboration within the organization

  • Troubleshoot and resolve issues related to messaging, file sharing, and other collaboration features

Show more details

Microsoft Office 365 Developer (3-5 years of experience)

Data Safeguard uses AI to protect data privacy and prevent synthetic fraud. They offer various solutions for different data types and deployment models.

Benefits:

  • Maximized benefits

  • Competitive Pay

  • Paid Time Off

  • Opportunity to work with a global team and clientele

  • Opportunity to potentially work in the United States headquarters

Education Requirements:

  • Bachelor’s degree in computer science, Information Technology, or a related field

Experience Requirements:

  • 3-5 years of proven experience as an Office 365 Developer with expertise in Exchange server management, DLP solutions, and SDK usage

Other Requirements:

  • Strong understanding of Office 365 applications, services, and development frameworks

  • Proficient in PowerShell scripting for automation tasks

  • Familiarity with security best practices and compliance standards in the Office 365 environment

  • Effective communication and collaboration skills

Responsibilities:

  • Design and develop custom solutions within the Office 365 environment, leveraging tools such as SharePoint Online, Power Platform, Microsoft Graph API, and Office SDK

  • Create and customize SharePoint sites, lists, libraries, and workflows to meet business requirements

  • Create, configure, and manage Exchange servers on-premises and in Azure

  • Implement best practices for Exchange server administration, including monitoring, maintenance, and troubleshooting

  • Build independent/stand-alone or Microsoft Office-specific Data Loss Prevention (DLP) solutions

Show more details

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