隐私

Discover 和 classify personal data, automate DSARs, 和 comply with global privacy regulations

安全

Identify at risk data, implement security controls, 和 monitor over time

DATA GOVERNANCE

Go beyond personal data to catalog meta-data, link to policies 和 visualize data lineage

发现,分类 & Underst和 your Data

  • Automatically discover data across your entire IT infrastructure with deep scans of the actual data.   
  • Leverage advanced ML-based classification to label 和 tag data with both out-of-the-box 和 custom classifiers.   
  • Capture both business 和 technical metadata across your environment to enable better management of retention, 访问, 保护, 和governance of your data. 
  • Correlate data to identities to underst和 personal data across your business 和 automate key areas of your privacy & data 保护 programs

Complete Data Coverage Across Structured, Unstructured 和 Semi-Structured Data

  • Unique data discovery architecture 允许s for discovery 和 classification of all data types across cloud, 内部, 和 legacy systems
  • Discover data in unstructured file shares, structured databases, Big Data storage, SaaS applications 和 other cloud solutions
  • 找到个人, sensitive 和 other data in all file types including text, CSV, PDF, Zip 和 images with full OCR capabilities
  • Flexible deployment options 允许 discovery of data at scale without the use of agents

Put Discovery into Action

  • Don’t just discover your data, but action discovery results through 新利18快乐彩下载app 隐私, Security & Data 治理 apps
  • Enrich元数据map to business glossaries, 和give the business control of data by enabling data stewards 和 data usage requests 与 新利18快乐彩下载app Data 目录
  • Address at-risk data an维恩force policy 和 technical controls like encryption, masking, 和 访问 controls
  • Underst和 privacy requirements that apply to personal data 和 build a data map 和 record of processing activities

500+ Pre-Built Connectors


Quickest time to value through the largest number of pre-built connectors. Plus, build your own custom connectors with Athena drag-和-drop workflow builder.

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