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.
• data privacy
• scalable solutions
• ai-powered
• machine learning
• compliance
• data redaction
• synthetic fraud detection
• real-time and historical data processing
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.
Personal data encompasses any information usable to identify a person, such as name, address, email, phone number, social security number, or date of birth.
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.
Sensitive data is information that could harm an individual or organization if revealed, such as financial information, medical records, or confidential business information.
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).
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.
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.
Using ID-REDACT® helps organizations protect sensitive information, comply with data protection regulations (GDPR, CCPA), reduce data breach risks, and maintain customer trust.
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.
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.
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.
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.
• 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®
• 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®
• 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
• 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
• 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
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.
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
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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
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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
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