The Challenge
Enterprise AI runs on the data you can least afford to expose
Enterprise AI runs on data. The problem is that enterprise data is some of the most sensitive, regulated, and operationally critical information that exists — and most AI deployment models weren’t designed with that reality in mind.
Organizations face a difficult choice: limit AI to generic, untrained models that can’t reflect their business context, or expose sensitive data to external systems that create privacy, compliance, and competitive risk.
That tradeoff is false. The right architecture eliminates it.
Data locked in silos
Enterprise data sits across dozens of systems, formats, and environments. AI can’t use what it can’t reach — and connecting everything without governance creates its own risks.
Privacy and compliance exposure
Regulated industries face strict requirements around how data is processed, stored, and accessed. External AI models that ingest sensitive data create compliance liability that most legal and security teams won’t accept.
Generic AI that doesn’t know your business
Models trained on public data can’t answer questions about your products, your customers, or your operations. Enterprise AI needs enterprise context.
No control over model behavior
When AI runs on external infrastructure, organizations lose visibility into how their data is being used, stored, and retained.
What it does
What Vault Does
Vault builds the secure data-to-AI architecture that makes enterprise AI both powerful and trustworthy. It connects your data to your AI capabilities through pipelines, retrieval systems, and deployment models that keep sensitive information under organizational control — without limiting what AI can do with it.
The result is AI that knows your business, answers questions about your operations, and operates within the boundaries your security and compliance teams require.
Capabilities
Six systems, one secure data foundation
01
AI-Ready Data Pipelines
Design and integrate structured and unstructured data pipelines that prepare enterprise data for AI workloads — cleaning, transforming, and routing information from across the organization into formats AI can actually use.
Outcome: Scalable, reliable data foundations that power AI applications across the enterprise.
02
Secure Model Deployment
Deploy AI models on private or controlled infrastructure so enterprise data never leaves organizational boundaries. For use cases where data sensitivity, regulatory requirements, or competitive concerns make external model
hosting unacceptable, Vault delivers full AI capability within your own environment.
Outcome: AI performance without data exposure — full capability, full control.
03
Retrieval & Knowledge Architectures
Implement Retrieval-Augmented Generation (RAG) architectures, vector search, and semantic retrieval systems that give AI models access to your enterprise knowledge without requiring sensitive data to be embedded into model
weights or sent to external services.
Outcome: AI that answers questions about your business with accuracy, using your data, on your terms.
04
Enterprise Data Engineering
Prepare, govern, and integrate enterprise data across systems to support reliable, high-quality AI applications. Data quality issues upstream create AI accuracy problems downstream — Vault addresses the foundation so AI performs
correctly in production.
Outcome: Clean, governed, integrated data that AI systems can trust and operate on reliably.
05
Controlled External Model Integration
Where external AI models are required, Vault implements the safeguards, proxy architectures, and data sanitization layers that ensure proprietary or sensitive information never reaches external systems — even when those systems
are part of the workflow.
Outcome: Access to best-in-class external AI capabilities without exposing enterprise data.
06
Flexible AI Model Strategy
Unlike approaches that rely solely on large external models, Vault supports deployment of both Large Language Models and optimized Small Language Models (SLMs) — selecting the right model for each use case based on performance,
cost, privacy requirements, and infrastructure constraints.
Outcome: Cost-efficient, right-sized AI deployment with full control over model behavior and data usage.
Industries
Proven across regulated, high-scale sectors
HealthcareFinancial ServicesGovernmentTelecommunications
ManufacturingEnterprise TechnologyHealthcareFinancial
ServicesGovernmentTelecommunicationsManufacturing
Enterprise Technology
Suite
Works with the rest of the suite
DCT Guardian™ — AI Governance
DCT Sage™ — Knowledge Intelligence
DCT Index™ — Document Intelligence
DCT Nexus™ — AI CoE & Transformation
Business outcomes
What organizations gain with Vault
Enterprise data powering AI without leaving secure environments
AI that knows your business — not just public information
Regulatory and privacy compliance built into the AI data layer
Full control over model behavior, data access, and AI outputs
Scalable data foundations that grow with AI adoption
Cost-efficient model deployment matched to each use case