Knowledge Grid published a blog post titled 'Query less. Reason more.' that outlines how AI agents can explore, scan, test, validate, and repeat to improve data infrastructure economics.

LLMs and Agentic AI are being deployed into security operations built on data infrastructure that was never designed for them. Raw security telemetry is temporal data — continuously changing, high-velocity, structurally unlike anything a general-purpose AI model was trained on. Feed it raw to an LLM and you get poor inference, high token cost, and non-trustworthy answers. We built the Cognitive Data Grid to solve this — a new category of AI infrastructure purpose-built to transform high-velocity security telemetry into structured, AI-ready representations that Agentic AI and LLMs can actually reason over effectively. The KG Cognitive Data Platform is built on three pillars: the Temporal Data Grid (patented data transformation engine), the Data Science Workbench (AI and analytics enablement including natural language querying, automated feature selection, and a hyper-scalable vector database), and Anomaly Detection & Analysis (unsupervised threat detection — no rules, no signatures, no prior threat knowledge required). The result: AI-native log analytics, threat detection that finds what signatures never will, and a platform that makes Agentic AI workflows in security operations actually work. Built on 7 issued patents. Designed for Agentic AI from day one. We are onboarding qualified channel partners and customer pilots. Visit www.knowledgegrid.com for more information.

Founded 2025