21k Files with Sensitive Data Detected from 3M Files Scanned for Efficient Risk Management and Remediation

• Data center consolidation across multiple locations globally
• Identification of sensitive information from the millions of files spread across the globe
• Sensitive data protection and remediation for enhanced data compliance and governance

• Massive unstructured data spread across multiple geographical regions – US, UK, Europe & Asia Pacific
• Inability to identify sensitive data and levy appropriate data governance and privacy protection measures
• Difficulty in classifying data to meet regulatory requirements and implementing audits and measurements
• Concerns related to the risk of moving data to a new S3 platform

Intelligent identification of data:

• A preliminary assessment of data sets and structuring of unstructured data with classification tagging based on ownership, access, metadata, and content

Data analysis to gain knowledge of the data:

• Content analytics backed by a Data Science Engine for a Single Pane view of sensitive data
• Risk classification using industry-standard compliance and governance templates
• Remediation for the identified sensitive data – Quarantine, Secure, and Audit Trail backed by Blockchain

Take appropriate action:

• Applying intelligence to high-risk sensitive data by isolating it into secure storage with limited access
• Ensuring role-based access with intelligent file access control and file-repermissioning
• Creating an immutable audit log backed by blockchain technology to track the data access activities and utilize them for regulatory and internal data governance reporting
• Data consolidation to drive continuous data protection, governance, and compliance