VERITAS DATA INSIGHT XPLAT 1 USER ONPREMISE STANDARD LICENSE
VDI-XPLAT-1U-24M
 
DATA INSIGHT XPLAT 1 USER ONPREMISE STANDARD LICENSE CORPORATE + ESSENTIAL MAINTENANCE SUPPORT 2 YEAR SKU (12592-M1 + SKU (12592-M1-21)
 
Veritas Data Insight helps enterprises proactively assess and mitigate unstructured and sensitive data security risks. With Data Insight, you can classify sensitive data in a hybrid cloud environment and arm your operations team with the key knowledge needed to identify security threats and prepare compliance audits more efficiently. Combining data visibility, context and analytics across your whole infrastructure allows IT to gain relevant knowledge to improve data governance and resolve security, compliance, insider and cyber threats quickly and conclusively.
 
The Veritas Integrated Classification Engine
Powered by the Veritas Integrated Classification Engine, Data Insight can unearth the hidden risk in dark data and identify personal data. The Integrated Classification Engine gives users the ability to create custom policies to tag information based on the content of these files. The Veritas Integrated Classification Engine comes pre-loaded with patterns to detect 1,100+ sensitive data patterns such as date of birth, social security numbers, credit card numbers and medical records. It includes 250+ pre-configured policies for GDPR, HIPAA, Sarbanes-Oxley and other regulations for different industries, and personal data policies relevant to 55+ different countries. Optical character recognition (OCR) enables extracting text from images and scanned documents to detect sensitive data. Exact Data Match capability identifies any sensitive information in the environment using exact matches rather than a pattern. The machine learning algorithm uses contextual information within Data Insight to prioritize how to crawl through dark data. Rather than spend months on classification, Data Insight can classify on a targeted basis to comply with requirements in as little as 72 hours. Data Insight uses metadata across multiple content sources. It tracks security descriptors and uses user metadata—not just file metadata—to deliver intelligence. User metadata can include attributes like job function, department and geo-location. This process allows users to dynamically query the environment and understand the information-leveraging context of the file.