Deliver increased visibility of unstructured data through AI powered analytics.
Automated tagging and metadata enrichment with pre-built sensitive data analytics grammars and pattern matching for detection and identification of personal and sensitive data. Learn more.
Analytics-based tagging, keywords and data enrichment help create data subsets refine data sets, to identify risk and ultimately take action on data that needs to be managed (e.g. collect, hold, delete, declare as record). Learn more.
Remediation actions to be applied to selected files to ensure the proper controls and data management practices are applied to sensitive and high value data sets. Learn more.
Analyze data subject information, organize and report on external information requests including Data Subject Access Requests (DSARs) received. Learn more.
Create Workspaces from subsets of your corporate sensitive data index to identify data sets and conduct deeper analysis and review of sensitive data. Learn more.
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. Learn more.
Sensitive data dashboards allow you to identify sensitive data, where it is located across the enterprise, and drill down into the data for deeper analysis.
Through value-added data assessment and discovery, analytics and data management capabilities, FAS Data Discovery extends the value of our customer’s investment in managing information risk associated with changing and evolving global data privacy regulations.
Rich set of dynamic or manual actions for data deletion, declaration and archive data to Micro Focus Content Manager for compliance purposes. Review remediation actions by internal subject matter experts before execution and are fully audited.
Workspace reporting based on all actions, tags, privacy scoring for Data Subject Access Requests (DSARs). Contextually aware pattern matching to reduce false positives with configurable rules for tagging sensitive data to make identification more accurate.
Workspaces provide analytical views, sensitive data types, key risk indicators, hit highlighting, as well as privacy scoring thresholds for better decision making.
Modern SaaS, micro service-based architecture designed for the cloud – providing instant project startup and automatic scaling. Hybrid file analysis capabilities allow for data to be analyzed in the cloud regardless of the source data being on premise or cloud.