Identification of sensitive data, assessment of access rights privileges, and detection of risk-sensitive data and anomalies—providing deep content and metadata analysis, reporting, auto-classification, policy development, and controls. This enables access to data via classification according to risk and security needs with sensitive data dashboards and unauthorized use and access alerting.
Data governance and IT modernization, providing data mapping, discovery, tagging, and trained machine learning-based classification, with active and passive remediation of data. Utilize policy-based scanning to identify data; manage data-in-place; preserve high-value data in a secure long-term repository; and quickly respond to internal and external information requests such as audits, consumer and data subject access requests, and legal investigations.
Detailed data analytics provide analysis of all organizational data from a centralized dashboard interface to address complex data privacy regulations. Identify key data insights that protect the business and identify complex risk scenarios. Connect to and monitor the most common sources of personal and sensitive data.
Content analysis and classification capabilities drive key business decisions around data efficiency and optimization. It reduces the storage footprint, drives the data lifecycle, and enables digital transformation. Automatically scan, index, and optimize data-enabling data reduction, migration, minimization, application retirement, and root-of-trust management.