Data Sentinel is a Data Trust and Compliance platform that utilizes machine learning to automate data mapping, auditing, and remediation processes, ensuring compliance with global data privacy regulations. The platform addresses the complexities of data governance by providing real-time insights into sensitive data management, thereby reducing risks and costs associated with data compliance.
Funding
$3.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face increasing challenges in managing and governing sensitive data across diverse systems, leading to compliance violations, data breaches, and financial risks. Manual data mapping, auditing, and remediation processes are time-consuming, costly, and prone to errors, hindering effective data governance and compliance with global data privacy regulations.
Solution
Data Sentinel offers a Data Trust and Compliance platform that leverages machine learning to automate data mapping, auditing, and remediation, ensuring adherence to data privacy regulations. The platform provides real-time insights into sensitive data management, enabling organizations to discover, classify, track, and trace data across all sources and systems. By automating compliance processes and providing a comprehensive view of data assets, Data Sentinel reduces the risks and costs associated with data governance and privacy compliance. The platform's AI-powered engine learns and classifies various data types, proactively identifies data quality issues, and automates remediation tasks such as masking and data isolation.
Target Audience
Data Sentinel targets organizations across various industries, including non-profits, consumer-directed businesses, financial services, insurance, higher education, healthcare, and legal firms, that require robust data governance and compliance solutions.
Features
- Automated data mapping to understand data assets and create a complete data inventory.
- Data audit as a service for PCI, PII, and PHI compliance.
- Data quality monitoring to measure and audit data quality and duplication.
- Data privacy compliance to discover, classify, track, and audit compliance with GDPR, CCPA, and other regulations.
- Automated data remediation to mask or isolate data based on policy exceptions.
- Data policy management to monitor data usage and placement against defined policies.
- Sensitive data management to reduce risk by deploying data risk policies and controlling sensitive data assets.
- OneTouch Scanning to investigate, classify, monitor, track, and trace all types of data in real-time.
- Three-Tier Teachable Data Classification to classify PII, PCI, and PHI data, with the ability to learn and classify any type of data.