Automated tagging and metadata enrichment with pre-built sensitive data analytics grammars and pattern matching for detection and identification of personal and sensitive data.
Analytics-based tagging, keywords, and data enrichment help create data subsets and refine data sets. This helps identify risk so you can act on data that needs to be managed (collect, hold, delete, declare as record).
Remediation actions can be applied to selected files to ensure that proper control and data management practices are applied to sensitive and high-value data sets.
Analyze data subject information, and organize and report on external information requests, including Data Subject Access Requests (DSARs).
Built as a cloud-first, multi-tenant SaaS solution, FAS Data Discovery is built to scale, drive operational efficiency through data analytics, and intuitively identify risk while reducing the total cost of compliance.