Sensitive Data Discovery

AI-driven continuous discovery and classification of sensitive data for security and compliance

Business impact

• Data Security — Reduces unauthorized access and exposure of sensitive information
• Compliance — Ensures adherence to data protection regulations and audit readiness
• Risk Reduction — Minimizes operational and reputational risks from data leaks
• Operational Efficiency — Automates data discovery and classification, saving manual effort

Data requirements

• Cloud Storage and Databases (Structured) — Scan files and tables to identify sensitive data locations
• Emails and Collaboration Tools (Text) — Analyze unstructured text for sensitive information
• Application Logs and Metadata (Structured) — Provide context for data sensitivity and access patterns

AI methods and techniques

• Predictive AI — Used to identify patterns and predict sensitive data presence
• Symbolic AI — Applies rule-based classification for compliance and data type recognition
• Generative AI — Supports natural language queries and investigation of data risks

AI models and model families

Azure OpenAI Service, Claude, GPT-4, Custom NLP models

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Varonis Systems Inc.