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Unstructured Data Governance

Manage unstructured data to enable safe use with generative AI

“90% of organizational data is now unstructured, and must be safely governed when used by GenAI models.”

IDC Quote

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
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Automated data discovery in unstructured files and cloud storage

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
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Automated classification of structured and unstructured data by sensitivity

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.
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Unstructured data cataloging and 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 extraction from diverse file formats

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 curation preparing unstructured data for GenAI

Data Sanitization

Protect sensitive information in AI workflows

  • Automated masking, anonymization, and tokenization
  • In-flight data protection in GenAI pipelines
  • Ensure compliance with internal and global data regulations
Gencore AI sanitizing unstructured data: redacting sensitive data before it reaches AI 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
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Data entitlements ensuring access integrity in AI pipelines

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
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Provenance tracing of data flowing from source files through pipelines into AI systems

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
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Data quality assessment for optimal AI performance

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
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Data security monitoring for unstructured data and AI ecosystems

Comprehensive Safe AI Platform

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Videos
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March 9, 2026
Rehan Jalil, Veeam on Agent Commander : theCUBE + NYSE Wired: Cyber Security Leaders
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Accelerate Copilot Adoption Securely & Confidently Organizations are eager to adopt Microsoft 365 Copilot for increased productivity and efficiency. However, security concerns like data...
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November 1, 2024
Top 10 Considerations for Safely Using Unstructured Data with GenAI
A staggering 90% of an organization's data is unstructured. This data is rapidly being used to fuel GenAI applications like chatbots and AI search....
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October 29, 2024
Gencore AI: Building Safe, Enterprise-grade AI Systems in Minutes
As enterprises adopt generative AI, data and AI teams face numerous hurdles: securely connecting unstructured and structured data sources, maintaining proper controls and governance,...
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August 12, 2024
Navigating CPRA: Key Insights for Businesses
What is CPRA? The California Privacy Rights Act (CPRA) is California's state legislation aimed at protecting residents' digital privacy. It became effective on January...
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Navigating the Shift: Transitioning to PCI DSS v4.0
What is PCI DSS? PCI DSS (Payment Card Industry Data Security Standard) is a set of security standards to ensure safe processing, storage, and...
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January 29, 2024
Securing Data+AI : Playbook for Trust, Risk, and Security Management (TRiSM)
AI's growing security risks have 48% of global CISOs alarmed. Join this keynote to learn about a practical playbook for enabling AI Trust, Risk,...

Spotlight Talks

Spotlight 00:00
AI Agents Unleashed? The Future of Identity & Data Access Security
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Spotlight 00:00
IDC Research: Why Data, AI, Identity and Access Security Must Come Together
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Spotlight 59:11
Data Controls for AI: Findings from the 2026 GigaOm DSPM Research
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Spotlight 1:02:06
Consent by proxy: When AI agents start deciding for us
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Spotlight 1:00:41
Future-Proofing for the Privacy Professional
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Spotlight 50:52
From Data to Deployment: Safeguarding Enterprise AI with Security and Governance
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Spotlight 11:29
Not Hype — Dye & Durham’s Analytics Head Shows What AI at Work Really Looks Like
Not Hype — Dye & Durham’s Analytics Head Shows What AI at Work Really Looks Like
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Spotlight 11:18
Rewiring Real Estate Finance — How Walker & Dunlop Is Giving Its $135B Portfolio a Data-First Refresh
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Spotlight
Choosing the Right DSPM: An Industry Analyst’s Perspective
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Spotlight 13:38
Accelerating Miracles — How Sanofi is Embedding AI to Significantly Reduce Drug Development Timelines
Sanofi Thumbnail
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What Is Data Anonymization
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Discover why redundant, obsolete, and trivial (ROT) data raises AI-era risks and how to minimize them. Explore practical fixes and business outcomes.
The PDPL Operational Lifecycle View More
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The PDPL Operational Lifecycle
Find it. Fix it. Prove it. Repeat. Explore the 10-stage PDPL operational lifecycle, key deadlines, and the evidence regulators expect.
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