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Description of the data transformation process from raw data to AI-ready data structures

Two Ways to Use Knowledge Grid.

Whether you're building a SOC, deploying AI agents, running analytics, or operating a data pipeline—the underlying problem is the same:

  • Your data is fragmented across tools and silos

  • Critical context is missing or buried

  • Relationships between events are implicit, never modeled

  • Behavioral baselines don't exist or drift unmonitored

  • Real signal gets lost in the noise

This is exactly the problem the KG Cognitive Data Platform was built to solve.

Use Case Categories

Knowledge Grid is designed for both cybersecurity threat detection and for technology and platform builders, helping clients strengthen detection and analytics through Unsupervised Anomaly Detection, while enabling service providers, MSSPs, MDR providers, security platforms, and AI solution builders to deliver advanced AI analysis capabilities within their own offerings.

Cybersecurity Threat Detection

Detect unknown threats with Unsupervised Anomaly Detection. Find threats you don't know to look for.

Technology Partners & Builders

Power security services with AI-ready data. Embed the Cognitive Data Grid into your platform, MDR, or AI SOC product.

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