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The Missing Data Layer for Cybersecurity AI
The Temporal Data Grid transforms fragmented security telemetry into structured, time-aware knowledge that AI systems, analytics tools, and security teams can actually use.
The Temporal Data Grid is the patented technology beneath the Cognitive Data Layer. It provides the missing layer between security telemetry and security intelligence — organizing activity into contextual, behavioral, temporal, and relational knowledge structures that support analytics, anomaly detection, and agentic AI workflows.
What Is the Temporal Data Grid?
The Temporal Data Grid is one of three core structures of the Knowledge Grid Cognitive Data Platform. It converts security telemetry into reusable knowledge structures that preserve meaning, context, relationships, behavior, and time.
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Traditional data platforms help organizations collect and query data. The Cognitive Data Layer helps machines and analysts understand it.
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It does this by transforming security activity into structured representations that can be used repeatedly across security analytics, unsupervised anomaly detection, AI-assisted investigation, agentic SOC workflows, and cybersecurity platform enablement.
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The Cognitive Data Layer turns security telemetry into machine-usable knowledge.
Works in Parallel with your Existing Data Stack
The KG Cognitive Data Platform is designed to complement existing security and data architectures. It does not require organizations to replace their existing data pipelines, SIEMs, data lakes, lakehouses, cloud storage environments, EDR/XDR tools, or cybersecurity applications.
Instead, Knowledge Grid adds a transformation Layer between fragmented telemetry and the applications that need better context. This layer creates reusable knowledge structures that support analytics, anomaly detection, and AI workflows.
Built for AI-Ready Cybersecurity Use Cases
The Cognitive Data Layer provides the foundation for Knowledge Grid’s platform and cybersecurity use cases by making security data more structured, contextual, reusable, and AI-ready.
Unsupervised Anomaly Detection
Find unknown and emerging behavioral patterns that rules, signatures, and predefined detections may miss.
Agentic SOC Enablement
Give AI-driven SOC workflows the structured knowledge needed to investigate and reason more effectively.
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Unsupervised Anomaly Detection
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Security Data Analytics
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Agentic SOC Enablement
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Cybersecurity Platform Enablement
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AI-Ready Data Foundation
AI-Ready Data Foundation
Create reusable security knowledge that can support multiple analytics, detection, and AI workflows.
Build the AI-Ready Foundation for Cybersecurity
Security data is too important to remain fragmented, noisy, and difficult for machines to use. Knowledge Grid transforms telemetry into structured knowledge so security teams, platforms, and AI workflows can detect, analyze, and act with better context.