Automatically Remove Sensitive & Regulated Data from AI Pipelines

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  • Identify and cleanse personal, regulated, or high-risk data before it enters GenAI workflows
  • Apply redaction or tokenization while maintaining structure and format
  • Minimize risk exposure without sacrificing model utility

  • Support for files, documents, SaaS platforms, cloud storage, and databases
  • Process unstructured content like PDFs, emails, and docs with built-in deep scanning
  • Uncover hidden risk regardless of data format or location

  • Define cleansing actions based on identity, data type, sensitivity, and residency
  • Enforce policies consistently with automated rule sets
  • Adapt controls to meet evolving risk thresholds and compliance needs

  • Maintain formatting and structure for accurate model training
  • Support safe AI enablement without breaking data workflows
  • Cleanse data without disrupting utility or performance

Sensitive Data Redaction

  • Automatically remove PII and sensitive content before it reaches LLMs
  • Support tokenization or redaction based on policy
  • Apply identity-aware cleansing to protect personal and regulated data

Tokenization for AI Utility

  • Replace sensitive fields with synthetic values for continued usability
  • Maintain formatting and structure to preserve downstream AI effectiveness
  • Enable safe data transformation for training and inference

AI Pipeline Risk Reduction

  • Cleanse data pre-ingestion to prevent prompt injection and model drift
  • Enforce usage policies to limit exposure to high-risk content
  • Strengthen overall AI security posture from ingestion to inference

Unstructured Data Cleansing

  • Discover and process risky data in documents, emails, and file shares
  • Extend protection beyond structured sources to collaboration tools
  • Address data risk across cloud, SaaS, and hybrid environments

Policy-Based Cleansing Automation

  • Define custom cleansing policies by sensitivity, type, or regulation
  • Trigger automated redaction/tokenization based on policy matches
  • Align AI data controls with internal governance frameworks

Compliance-Ready AI Enablement

  • Demonstrate responsible AI usage with cleansing audit trails
  • Prove that models were trained on compliant, policy-aligned data
  • Accelerate GenAI adoption without sacrificing compliance

The Right Data Makes AI Smarter — and Safer.

BigID helps organizations cleanse data at scale to build secure, trustworthy, and compliant AI.

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