The infrastructure ecosystem
The Cognitive Data Layer for AI
Traditional data platforms store and move information, but they do little to organize it into meaningful context that AI models and agents can reason over.
Knowledge Grid introduces a Cognitive Data Layer for AI—a new foundation that transforms raw data into structured knowledge representations designed for machine understanding.
Knowledge Grid creates machine-readable knowledge representations of massive datasets using temporal profiling, statistical summaries, and correlation models.
Our Strategic Advantage: The Temporal Data Grid
The Temporal Data Grid is our strategic advantage: it converts massive, time-based telemetry into compact, permission-aware Knowledge Descriptions that AI agents and LLMs can query and reason over reliably.
Using Feature Summaries, Histograms, and Correlations, it delivers high-signal context at speed—powering better detections, faster investigations, and automated response without rebuilding your data infrastructure.
AI-ready context, not raw logs: Feature Summaries compress and structure telemetry so agents can retrieve the right evidence fast.
Baseline intelligence for models: Histograms profile “normal vs. now” behavior to drive drift detection, scoring, and anomaly triage.
Relationship graph for reasoning: Correlations connect related features across Knowledge Descriptions, giving AI the context needed to explain “why” and prioritize action. filtration
How Knowledge Grid Optimizes Security Platforms
The Knowledge Grid platform provides a cognitive data layer that sits between existing telemetry sources and cybersecurity solutions.
Rather than retrofitting existing security platforms and data infrastructure, Knowledge Grid enhances and optimizes them—allowing detection engines, analytics platforms, and AI-driven security solutions to perform at a much higher level of scale and intelligence.
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Accelerates Security Analytics
The platform converts massive telemetry streams into compact knowledge descriptions that dramatically improve query performance, enabling faster threat hunting, investigations, and forensic analysis.
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Enhances Detection Accuracy
By organizing data into temporal behavioral models and correlated relationships, Knowledge Grid enables security platforms to identify anomalies and emerging threats that traditional rule-based systems often miss.
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Reduces Alert Noise
High-signal summaries and behavioral baselines allow security solutions to focus on meaningful deviations, reducing false positives and improving the effectiveness of detection workflows.
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Powers AI-Driven Security Operations
The platform provides structured, contextual data that enables AI agents and LLM-based systems to reason about patterns, relationships, and behaviors across complex environments.
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Works with Existing Security Infrastructure
Knowledge Grid integrates with existing SIEM, data lakes, security analytics tools, and telemetry pipelines—enhancing their capabilities without requiring organizations to replace their current stack.