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Knowledge Grid - Official Product Launch information
Introducing the Cognitive Data Platform for Cybersecurity
Knowledge Grid transforms raw telemetry into structured, high-signal knowledge—powering better analytics, stronger detection, and AI-driven security workflows.
Why Now?
Every organization is racing to apply AI to security — and running into the same wall. The models are ready; the data underneath them isn't. Telemetry arrives faster than any team can organize it, context lives in a dozen disconnected tools, and AI systems are asked to reason over environments they don't actually understand.
That's not a model problem. It's a data-infrastructure problem — and it's the reason so many AI security initiatives stall short of judgment. Knowledge Grid was built for this moment: to organize time, behavior, relationships, anomalies, and context into a foundation AI can finally reason over. The AI is ready. Now the data is too.
Three Takeaways from our July Product Launch Briefing
How many of these have you read about or attended? How many do you remember?
If there were three things we would want you to remember from our product launch announcement, they are here below.
We weren't failing at AI. We were failing at the data infrastructure underneath it.
The models were ready. The foundation they run on wasn't.
Every security team is racing to apply AI — and hitting the same wall. Telemetry arrives faster than anyone can organize it, context lives scattered across a dozen disconnected tools, and AI is asked to reason over environments it was never given the ground-truth to understand. That's not a model problem. It's a data-infrastructure problem. Knowledge Grid was built to solve it — rebuilding the layer between raw telemetry and AI-ready security knowledge from first principles.
Finding the unusual isn't the same as knowing what matters.
A statistical anomaly is not a security incident. The difference is context.
Anomaly detection has never been the hard part, surfacing the unusual is table stakes. The hard part is judgment: knowing whether a spike is a routine backup job or a stolen credential moving laterally. That takes knowing the environment, what each host and account actually is, and what's normal for it. Knowledge Grid organizes time, behavior, relationships, anomalies, and context so that a raw anomaly becomes a scored, named incident with a plain-English reason and the evidence attached.
Not bolted-on AI. Patented data mathematics.
A data core built for scale, precision, and reasoning from the ground up.
Knowledge Grid is grounded in a patented data core built on Rough Set mathematics, a formal framework for classification, approximate reasoning, and pattern discovery under uncertainty. It queries hundreds of terabytes without scanning the raw data, and it powers automated feature selection, anomaly detection, and knowledge compression in ways probabilistic or heuristic approaches can't match. It integrates with the tools, telemetry, and infrastructure you already run, no need to replace your SIEM, data lake, cloud platform, or workflows. Developed and maintained by a dedicated R&D team with deep specialization in large-scale data science and distributed computing.
What’s Available Today
Product Launch v1.1 - July 2026
Cognitive Data Platform
Integrations
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v.1.0 Cognitive Data Platform Available
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Includes Temporal Data Grid+ Cognitive Workbench + UAD
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REST API, MCP Integration, & Natural Language (KGQL) available
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Dragonfly Cyber Integration available
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AWS Billing API
Data Analytics Service (DAS)
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v.1.1 - DAS has achieved General Availability
Unsupervised Anomaly Detection (UAD)
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v1.1 UAD has achieved General Availability
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UAD Gen 2 (LLM Advanced Scoring) fully integrated
Who Is This For?
- Platform Builders
- Cybersecurity vendors
- AI / Agentic SOC platforms
- Data pipeline providers
- Security Teams
- Mid-market organizations (500–10K employees)
- MSSP / MDR customers
- Channel-delivered security
Press & Media Toolkit
Access high-resolution assets, executive bios, and detailed launch specifications for Knowledge Grid's Q2 2026 infrastructure rollout.