Securiti launches Gencore AI, a holistic solution to build Safe Enterprise AI with proprietary data - easily

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Data Vectorization and Ingestion

Convert unstructured files into AI-ready formats, syncing to vector databases

Data Connection &
Curation

Connect and curate diverse data sources

  • Securely integrate data from on-premise, cloud, and SaaS platforms
  • Define data scope at ingestion, excluding content for quality, legal and ethical compliance
  • Use advanced document classifiers and user entitlements to direct data to appropriate AI pipelines

Data Extraction & Normalization

Extract and parse information from complex files

  • Process hundreds of file formats, including Word, PDF, and multimedia
  • Convert unstructured data into coherent datasets
  • Maintain context and relationships within complex documents to enhance vector DB comprehension of extracted data

Data Sanitization

Auto-clean data to comply with enterprise policies

  • Apply dynamic masking, redaction, or anonymization to sensitive information on the fly
  • Customize data sanitization based on enterprise-specific policies
  • Transform data into a clean and compliant format suitable for AI pipeline use

Data Vectorization

Generate and load custom embeddings

  • Create embeddings using various models for AI pipeline applications
  • Load embeddings into preferred vector databases
  • Preserve permissions and associated metadata during ingestion

Retrieval Firewall

Monitor and control data retrieval in real-time

  • Safeguard sensitive information during the RAG process
  • Ensure retrieved data is relevant and topical
  • Customize firewall rules based on specific security requirements

Comprehensive Safe AI Platform

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