
Securiti’s Unstructured Data Governance solution enables organizations to manage and protect unstructured data. It ensures data discovery, classification, cataloging, extraction, and sanitization, enhancing data quality and security for AI applications while maintaining compliance with global regulations.
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Securiti
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Unstructured Data Governance
Manage unstructured data to enable safe use with generative AI
Data Discovery
Identify hidden unstructured data across your entire digital landscape
- Automated discovery in file shares, cloud storage, data lakes
- Advanced NLP and ML for contextual understanding
- Comprehensive coverage of diverse data formats
Data Classification
Interpret unstructured content on the fly with precision and context
- Analyze data using advanced ML models, understanding context and nuances
- Employ 350+ classifiers to auto-detect sensitive info per global laws
- Detect sensitive documents like medical, insurance, and tax forms
Data Cataloging
Organize unstructured information for easy discovery and access
- Inventory all files, documents, and objects.
- Add tags and metadata based on content and context.
- Improve unstructured data accessibility and searchability across the organization.
Data Extraction
Unlock valuable insights from diverse data formats
- High-fidelity parsing for hundreds of file types
- Capture visual layout for improved vectorization
- Enhance LLM comprehension of extracted data
Data Curation
Prepare unstructured data for optimal GenAI output
- Auto-label files based on content analysis
- Add data labels for sensitivity and use cases
- Preserve metadata when moving files to GenAI models
Data Entitlements
Ensure data access integrity in AI pipelines and assistants
- Know who can access what files and folders in data lakes and file shares
- Keep access permissions intact when moving data from source systems to AI models
- Enforce data entitlements at AI prompt level to prevent unauthorized user access
Data Lineage
Visualize data journey from origin to AI consumption
- Map unstructured data's path through processing and usage
- Assess GenAI projects for compliance and risk evaluation
- Monitor data flow and usage in GenAI projects
Data Quality
Ensure data quality for optimal AI performance
- Exclude sensitive data at ingestion for legal and ethical compliance
- Assess file freshness, uniqueness, and relevance
- Filter data in-flight for GenAI model input
Data Security
Fortify your data and AI ecosystem against threats
- Ensure proper configuration of models and data systems
- Built-in policies for sensitive data, tone, and topics
- Continuous monitoring of LLM interactions against attacks, malicious use, and mistakes