AI-Powered Data Intelligence & Classification Engine
Every organization has dark data — files, records, and datasets that exist across servers, shares, and cloud storage but remain unclassified, ungoverned, and invisible to leadership. Dark Data Discovery Platform uses AI-powered classification, natural language processing, and deep content extraction to surface, categorize, and govern this hidden data at enterprise scale.
The platform scans local drives, network shares, and cloud storage, extracting text, metadata, geospatial coordinates, and embedded content from hundreds of file types. Each asset is classified against configurable policy frameworks including PII detection, regulatory compliance (HIPAA, GDPR, FISMA), and custom organizational taxonomies. Interactive dashboards provide real-time visibility into what you have, where it lives, and what risk it carries.
Deploy on-premises for air-gapped environments, in the cloud for elastic scale, or as a hybrid. A live demo is available below — explore the dashboard with real classified data, hosted on Microsoft Azure.
Scans 200+ file types extracting text, metadata, embedded objects, geospatial data, and OCR content from images and scanned documents. No file left unexamined.
Machine learning classifiers categorize every file against PII patterns, regulatory frameworks, and custom organizational taxonomies with confidence scoring and explainable results.
Configure detection policies for HIPAA, GDPR, FISMA, PCI-DSS, and custom frameworks. Automatic flagging, risk scoring, and remediation recommendations built in.
Real-time visibility into your data landscape. Filter by classification, risk level, file type, location, and compliance framework. Drill into any record for full detail.
Native connectors for Azure Blob Storage, Key Vault, Sentinel, AI Search, and Purview. Architected for Azure Government (GCC/GCC-High) and AWS GovCloud environments.
Run on-premises for air-gapped or classified environments, in Azure or AWS cloud for elastic scale, or hybrid. Your data never leaves your perimeter unless you want it to.
Most data discovery tools flood you with alerts and leave you to sort through the noise. Dark Data Discovery Platform was engineered to solve the problems that make those tools unworkable at enterprise scale.
Real-time policy monitoring that catches violations as they happen — not in next month's audit report. Get alerted the moment a file containing PII lands in an unprotected location.
Other tools flag the same pattern 10,000 times and call it "findings." Pattern suppression deduplicates and surfaces only actionable signal — so your team acts on issues, not noise.
All classification and analysis happens on-premises. Your sensitive data never leaves your environment. No cloud API calls with your content. No third-party model training on your data. Air-gap ready.
Replaces Azure Purview + Information Protection + DLP + Defender + Cost Management — or the equivalent AWS/GCP stack. One deployment, one dashboard, one vendor relationship, one support contract.
No per-seat fees. No per-scan charges. No per-GB surprises. One price covers unlimited scanning across your entire environment. Your cost optimization program shouldn't cost more than the storage you're saving.
The Dark Data Discovery Platform is built on Python and Node.js with a high-performance API backend serving real-time interactive dashboards. AI-powered classification leverages large language models and natural language processing pipelines for intelligent content analysis, pattern recognition, and contextual understanding of unstructured data.
Data is stored in high-performance embedded databases optimized for millions of records with instant query response times. The extraction engine processes hundreds of file formats including office documents, PDFs, images (with OCR), geospatial data, compressed archives, and multimedia content.
The platform integrates natively with Microsoft Azure services including Key Vault for secrets management, Sentinel for security event correlation, AI Search for full-text indexing, and Purview for data catalog synchronization. It is architected for deployment in Azure Government (GCC/GCC-High) and AWS GovCloud environments, meeting the strictest federal compliance requirements.
Dark data problems surface in specific, high-stakes moments. The platform is purpose-built to perform when it matters most.
Scan a target company's data estate before acquisition closes. Quantify hidden compliance liability, identify breach exposure, and negotiate from a position of knowledge — not assumption.
CMMC, FedRAMP, FISMA, HIPAA, SOX — know exactly where your regulated data lives before auditors arrive. Replace the scramble with a documented, defensible data inventory.
Don't lift and shift your technical debt. Scan, classify, and remediate before migration. Move only what should move — clean, classified, and properly governed from day one.
Find and remediate exposed PII, credentials, and sensitive documents before attackers do. Every unmonitored data store is an attack surface. Close those gaps systematically.
Identify redundant, obsolete, and trivial (ROT) data consuming expensive storage. Organizations completing a discovery and remediation program routinely reduce active storage by 30–50%.
CMMC/FISMA compliance, CUI boundary definition, classified spillage detection, and cross-agency data sharing preparation. Purpose-built for the security requirements of federal environments.
You can't build trustworthy AI on dirty data. Before you feed anything into a model, an agent, or a RAG pipeline — you need to know what you have, where it lives, and whether it's clean, classified, and compliant. That's what Dark Data Discovery does first.
AI agents need access to organizational knowledge — but only validated, current, and properly classified knowledge. Dark Data Discovery maps, classifies, and verifies that knowledge so agents deploy with confidence. No hallucinations from stale data. No compliance violations from unclassified PII feeding the knowledge base.
For retrieval-augmented generation, the quality of your vector store is everything. Garbage in, garbage out — at model scale. Dark Data Discovery ensures only verified, current, properly classified documents enter your RAG pipeline. Your AI answers are only as good as your document foundation.
Dark Data Discovery feeds directly into DataReady AI for a complete data-to-AI-readiness workflow: Scan → Classify → Remediate → Assess AI Readiness → Deploy. Each stage builds on verified outputs from the last. No gaps, no guesses, no surprises in production.
Without dark data discovery first, AI initiatives risk training on contaminated data, exposing PII through model outputs, violating data residency requirements, and amplifying existing data quality problems at model scale. The cost of discovering this in production is orders of magnitude higher than solving it at the source.
The pipeline: Dark Data Discovery → Clean & Classify → Remediate → AI Readiness Assessment → Confident AI Deployment. Organizations that skip step zero find out at step five.
See Dark Data Discovery Platform in action. Browse real classified data, explore interactive dashboards, and understand what the platform reveals — all in a read-only demo environment hosted on Microsoft Azure.