Security Data Fabric
The security context layer. Sovereign by design.
Most enterprise security environments were never designed to support AI.
Data is fragmented across tools, identities, cloud environments, and operational systems. Records conflict. Context is missing. Humans work around it, but AI cannot.
Prevalent AI continuously cleans, connects, and contextualizes enterprise security data into a sovereign knowledge graph, creating a single operational picture your teams and AI systems can reliably act on.
The foundation your AI is built on.
Security teams already operate in highly fragmented environments. Vulnerability scanners, cloud platforms, identity systems, endpoint tools, CMDBs, ticketing systems, and operational data all describe the environment differently.
The result is not a lack of data. It is a lack of trustworthy context.
Prevalent AI’s Security Data Fabric ingests data from hundreds of sources, resolves inconsistencies automatically, maps relationships across the environment, and maintains an up-to-date knowledge graph of assets, identities, vulnerabilities, controls, and operational context.
Every team and every AI agent operate from the same trusted operational picture.
Clarity
One continuously updated operational picture of your environment.
Every source ingested. Every duplicate resolved. Every relationship mapped automatically across devices, identities, applications, cloud, and data.
Context
Security decisions are relationship decisions.
Prevalent AI connects assets, vulnerabilities, identities, ownership, controls, and operational history into a continuously contextualized knowledge graph that explains not just what exists, but why it matters.
Control
Enterprise AI should operate on infrastructure you own.
Every deployment is sovereign by design, running within your environment, under your control, independent of shared infrastructure or model-provider lock-in.
Built at scale, for scale
Prevalent AI has spent nearly a decade solving this problem inside some of the world’s most complex enterprise environments.
Hundreds of integrations. Massive operational scale. High-stakes environments where approximation is not acceptable.
Why context changes everything.
Prevalent AI’s knowledge graph continuously maps relationships across assets, identities, vulnerabilities, controls, ownership, operational history, and business context.
Connectors
Rapidly integrate data across cloud, identity, endpoint, vulnerability, ticketing, operational, and security systems through a continuously expanding integration framework.
Pipelines
Entity Resolution
Knowledge Graph
Built for complex enterprise environments.
Enterprise environments are never standardized. Prevalent AI is designed for that reality.
Our integration framework supports a rapidly expanding ecosystem of security, cloud, identity, operational, and enterprise data sources, enabling organizations to onboard new systems quickly without redesigning the underlying architecture.
Built to adapt.
With DataBridge, the data integration layer, Prevalent AI can rapidly add new cloud, SaaS, operational, or on-premises systems as your environment evolves.
One operational picture across every attack surface.
Continuously map and contextualize assets, identities, infrastructure, applications, cloud environments, and data relationships from a single operational foundation.
Devices
Continuously monitor infrastructure, endpoints, and operational relationships across distributed environments to identify vulnerabilities, posture gaps, and configuration drift.
Cloud
Identity
Data
Application
Discover DataForge
Synthetic data for AI development and testing.
DataForge generates realistic, synchronized synthetic datasets for AI model training, testing, R&D, and quality assurance without exposing sensitive operational data.
Organizations can accelerate AI experimentation and development while maintaining data privacy, sovereignty, and compliance requirements.
