Data Safeguard
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About
Data Safeguard is an enterprise-grade AI platform designed to automate the discovery, classification, and redaction of sensitive information across diverse data landscapes. By leveraging its proprietary Cognoscible Computing Engine (CCE®), the tool addresses complex challenges in data privacy and synthetic fraud prevention that were previously considered impossible to solve manually. It identifies personally identifiable information (PII) and protected health information (PHI) within structured, semi-structured, and unstructured datasets, including real-time communication channels like emails and chats. The platform operates through several specialized modules like ID-REDACT® and ID-MASK®. ID-REDACT® uses machine learning and contextual rules to remove sensitive data from datasets while maintaining the accuracy and integrity of the remaining information. It can be deployed on-premise, in the cloud, or accessed via self-serve APIs. The system also features advanced fraud detection capabilities specifically targeting "Frankenstein Identities"—synthetic personas created by combining real and fake data—helping financial institutions mitigate significant losses. This suite is best suited for industries with high regulatory burdens, such as financial services, healthcare, and retail. It serves specific user roles including data stewards, auditors, and risk analysts who need to manage massive volumes of data across databases, data lakes, and individual file formats like PDF, DOC, and CSV. The tool is particularly valuable for organizations looking to streamline Data Subject Access Requests (DSARs) and ensure "always-on" audit readiness without increasing headcount. What differentiates Data Safeguard is its Unified Privacy Automation Platform approach. Unlike competitors that might only focus on specific file types or batch processing, this tool handles real-time streams—such as web logs and online chat rooms—and historical archives simultaneously. It boasts a 70-75% reduction in DSAR fulfillment time and up to 90% reduction in audit preparation time, providing a measurable ROI on compliance tasks.
Pros & Cons
Reduces Data Subject Access Request (DSAR) fulfillment time by up to 75%.
Supports real-time redaction for streaming data including emails, chats, and web forms.
Provides a 90% reduction in time required for audit preparation through centralized evidence.
Offers flexible deployment models including on-premise, cloud, and self-serve APIs.
Combines data privacy redaction with advanced synthetic fraud prevention in one platform.
The Customer API plans are limited to only 10 calls per month.
Enterprise on-premise deployment requires implementation by their Professional Services team.
Customer API usage requires users to upload their data to Data Safeguard's cloud environment.
Use Cases
Compliance Officers can automate the redaction of PII across enterprise databases to maintain GDPR and CCPA compliance.
Financial Risk Analysts can use ID-FRAUD to detect synthetic identities in loan applications, reducing losses from Frankenstein personas.
Data Stewards can automate the processing of DSARs to cut fulfillment time from days to hours per request.
IT Developers can utilize the Customer API to integrate automated data masking directly into internal software development workflows.
Auditors can use the real-time dashboards to centralize evidence and trails for 90% faster audit readiness.
Platform
Task
Features
• pii/phi data classification
• audit readiness dashboards
• multi-format file support (pdf, doc, csv)
• historical database batch processing
• dsar fulfillment automation
• synthetic fraud detection (id-fraud)
• real-time email and chat redaction
• cognoscible computing engine (cce®) ai
FAQs
What is ID-REDACT® and how does it function?
ID-REDACT® is an AI-powered product that removes PII and sensitive data from large datasets. It analyzes data to find information like Social Security numbers or credit card details and applies contextual rules to redact them while maintaining data integrity.
What types of data formats can the tool process?
The platform supports a wide range of formats including structured databases, data lakes, and individual files such as Microsoft Word, PDF, Excel, PowerPoint, and CSV. It can also process real-time data from online chat rooms and email systems.
How does Data Safeguard address synthetic fraud?
The tool identifies 'Frankenstein Identities' by using behavioral analytics and machine learning to detect when real and fake information have been combined. This helps financial institutions flag fraudulent accounts and loans that difficult to catch with traditional methods.
Can this solution be deployed on-premise?
Yes, Data Safeguard offers an Enterprise On-Premise plan where the product is implemented within your own data center. This ensures that sensitive data stays entirely within your secured network for maximum compliance.
Pricing Plans
eCommerce Monthly
USD49.00 / per month• 60 documents per month
• Individual file redaction
• Support for PDF, DOC, CSV, PPT, EXL
• Email support (8 hour SLA)
Customer API D-TR
USD99.00 / per month• 10 API calls per month
• Detect, Tag, and Redact PII
• Historical data store uploads
• 3 hour response time
Customer API DIC-TR
USD299.00 / per month• 10 API calls per month
• Detect, Identify, Confirm, Tag, Redact
• Historical data store uploads
• 3 hour response time
Free Trial
Free Plan• 1 document per day
• 7 day duration
• Individual file redaction
• Support for PDF, DOC, CSV, PPT, EXL
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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