Your AI isn't the problem. The data underneath it is.
The KG Cognitive Data Platform transforms security telemetry into AI-ready data at ingest so the models and agents downstream can finally reason over it, and surface the threats legacy tools structurally can't."
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Surface threats legacy tools structurally can't detect
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Make security telemetry AI-ready without replacing your stack
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Built for agentic AI from day one no separate data transformation steps
Patent Numbers: 8700579, 8838593, 8266147, 8417727, 8521748, 8943100, US11301467B2
THE COGNITIVE DATA LAYER FOR CYBERSECURITY
WHAT WE DO
Knowledge Grid delivers a new category of technology for cybersecurity AI, the "Cognitive Data Layer". The underlying patented technology, the Temporal Data Grid, turns raw security telemetry into structured, high-signal knowledge, AI-ready the moment it lands, built for the LLMs and agents downstream.
Transforms security Data at Ingest
Structure raw, fragmented telemetry into AI-ready data the moment it lands, so models reason over relationships and correlation, not noise.
From Raw Telemetry to AI-Ready Knowledge
Captures Time, Not Just Timestamps
Capture the full temporal shape of your environment, not static snapshots, giving AI the trajectory that turns a data point into a detection.
Detects the Threats You Don't Know to Look For
Surface hidden threats with Unsupervised Anomaly Detection, no rules, no signatures, no prior knowledge of the attack required.
THE PROBLEM
3 Problems We Solve
Before AI can defend an environment, it has to do three things with the data: 1) read it, 2) see what changed in it, and 3) judge it.
Traditional security stacks fail at all three — they were built for human analysts, not machine reasoning, and no model can recover what the data never captured.
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THE DIFFERENCE
Traditional Data Stacks Weren't Built for This
Traditional data stacks store and retrieve security data and they do that well. But storage isn't readiness. The Temporal Data Grid transforms telemetry into time-aware, AI-ready context that reveals behavior, relationships, and change over time.
Both matter. They do different jobs."
Traditional Data Stacks store & manage data.
VS.
Knowledge Grid Adds the Missing Knowledge Layer
PRIMARY USE CASES
Use Cases Designed & Built for AI-Driven Security
Advanced analytics and detection capabilities built on an AI-ready data category, the Cognitive Data Layer.
The Cognitive Data Layer enables, powers & scales Agentic AI & LLM based solutions
Specialized cyber-intelligence that enriches downstream agentic workflows.
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Deliver AI-ready data to the models and agents downstream
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Avoid costly data re-processing after ingest
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Extend into security without new pipelines
Give your agents the context they're missing.
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Bypass data-access bottlenecks
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Feed agents richer, AI-ready context
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Ground agent decisions in time-aware data
Add AI-ready data without re-architecting your stack.
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Avoid a costly data-stack re-architecture
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Accelerate analytics with pre-built data science functions
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Lower compute cost
Better context means better accuracy at lower cost.
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Solve data-quality problems at the source
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Lower compute cost per customer
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Improve detection accuracy across tenants
Cut the noise. See the threats that matter.
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Detect unknown threats faster
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Get richer context than a SIEM can provide
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Improve SOC outcomes with less data wrangling
Who We Serve
Helping security teams, service providers, and technology partners turn unstructured and semi-structured security data into AI-ready intelligence.
Security Teams (SOC/SecOps)
MSSP/MDR &
Managed Security
Cyber Security Platform Vendors
AI SOC (Agentic SOC) Providers
Data & AI Infrastructure Partners
WHO IT'S FOR
Data Alone Isn't Enough
Because AI-driven security needs more than data, it needs structured, contextual knowledge.
A smarter data foundation for - finding security threats, improving data context, & accelerating security workflows.
Structures and cleans your security telemetry at ingest, so AI models operate with maximum accuracy and minimal tuning overhead.
1) AI-Ready Data Foundation
Tracks how identities and assets change over time, giving your team the historical perspective to dismiss false positives instantly.
2) Temporal and Behavioral Context
Engineered by practitioners who know real-world SOC friction, alongside data scientists pioneering Rough-Set mathematics for cybersecurity.
Integrates with your existing MSSP or security stack for immediate value, without a costly re-architecture.
Surfaces sophisticated, cross-vector threats that signature-based tools miss, by analyzing complex relationships across your entire infrastructure.
3) Multidimensional Anomaly Discovery
5) Built by Operators and Scientists
4) Partner-Ready Delivery Model
WHY KNOWLEDGE gRID?
The science
Research & Development
Knowledge Grid was built by a team with deep expertise in data science, big-data architecture, and cybersecurity operations. Our platform is backed by an advanced R&D team in Warsaw, Poland, with specialized experience in mathematical modeling, large-scale data processing, AI, data classification, and machine intelligence.
At the core of our technology is deep expertise in Rough Set Theory, the mathematical foundation behind our Temporal Data Grid, unsupervised anomaly detection, and advanced knowledge structures. It's what lets Knowledge Grid transform complex, high-volume data into machine-usable context, helping AI systems reason over and interpret dynamic data with greater speed and precision.
RESOURCES
Featured Resources
The latest insights on AI-ready security data, anomaly detection, and the Cognitive Data Layer. (Note: Registration required for some resources.)
AI-Ready Data Infrastructure Survey
Evaluate whether your current stack is ready for agentic SOC and autonomous security workflows.