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.
- Surface threats legacy tools structurally can't detect
- Make security telemetry AI-ready without replacing your stack
- Built for agentic AI from day one, no separate data transformation steps
PROTECTED BY
Knowledge Grid holds seven issued US patents covering the data foundation beneath the Temporal Data Grid: approximate query processing, compressed metadata structures, and log transformation.
Patent Numbers: 8700579, 8838593, 8266147, 8417727, 8521748, 8943100, US11301467B2
From Raw Telemetry to AI-Ready Knowledge
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.
In practice, the Cognitive Data Layer sits between the tools that collect security telemetry and the models that need to reason over it. As logs, events and alerts arrive, the Temporal Data Grid converts them into structured, time-aware knowledge: what each entity normally does, how entities relate to one another, and how that behavior is changing. That knowledge is stored once and reused everywhere — by analysts running investigations, by unsupervised anomaly detection looking for threats no rule describes, and by AI agents that need context rather than raw rows. Because the layer runs alongside a SIEM, data lake or lakehouse instead of replacing it, security teams keep their existing collection, storage and compliance workflows while gaining a data foundation that was designed for machine reasoning from the start. The result is less time spent reconstructing meaning, and more signal reaching the people and systems that act on it.
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.
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.
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.
Read it
Fragmented, inconsistent telemetry has to be made machine-legible before a model can reason over it at all.
See what changed in it
Static snapshots hide trajectory. Without temporal state, change — the signal that matters — is never captured.
Judge it
Judgement needs context: what is normal here, how these entities relate, and what has already been learned.
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 Stack
Designed to store, organize, search, and report on data.
Traditional Data Stacks store & manage data.
Typical systems
What it does well
- ✓Collects and ingests data at scale
- ✓Stores data in structured and unstructured formats
- ✓Indexes and makes data searchable
- ✓Enables queries, reports, dashboards, and visualizations
- ✓Supports business intelligence and compliance reporting
- ✓Provides operational visibility and alerting
What is often missing
- ✗Preserved context across entities, events, and time
- ✗Behavioral understanding and baselines
- ✗Deep relationships between entities and activities
- ✗Reusable knowledge for AI and advanced analytics
- ✗Built-in support for anomaly discovery and unknown threats
Cognitive Data Layer
Transforms telemetry into structured, contextual, and time-aware knowledge.
Knowledge Grid Adds the Missing Knowledge Layer
What it creates
What it does
- ✓Preserves context, relationships, behavior, and time
- ✓Builds reusable knowledge structures from fragmented telemetry
- ✓Understands how activity evolves and deviates over time
- ✓Enables multidimensional anomaly discovery
- ✓Provides AI-ready inputs for analytics and agentic workflows
- ✓Continuously refines knowledge using feedback and outcomes
What it enables
Unsupervised Anomaly Detection
Find unknown and emerging threats
Cybersecurity Platform Enablement
Richer context for better products
Security Data Analytics
Deeper insights with rich context
AI-Ready Data Foundation
Reusable knowledge for multiple use cases
Use Cases Designed & Built for AI-Driven Security
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)
Cut the noise. See the threats that matter.
- •Detect unknown threats faster
- •Get richer context than a SIEM can provide
- •Improve SOC outcomes with less data wrangling
MSSP/MDR & Managed Security
Better context means better accuracy at lower cost.
- •Solve data-quality problems at the source
- •Lower compute cost per customer
- •Improve detection accuracy across tenants
Cyber Security Platform Vendors
Add AI-ready data without re-architecting your stack.
- •Avoid a costly data-stack re-architecture
- •Accelerate analytics with pre-built data science functions
- •Lower compute cost
AI SOC (Agentic SOC) Providers
Give your agents the context they're missing.
- •Bypass data-access bottlenecks
- •Feed agents richer, AI-ready context
- •Ground agent decisions in time-aware data
Data & AI Infrastructure Partners
Specialized cyber-intelligence that enriches downstream agentic workflows.
- •Deliver AI-ready data to the models and agents downstream
- •Avoid costly data re-processing after ingest
- •Extend into security without new pipelines
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.
Layer 03
Models & agents
Reason over knowledge, not raw logs
Layer 02
Cognitive Data Layer
Context, relationships, behavior and time, preserved at ingest in a cyber security context store
Layer 01
Security telemetry
Logs, events, identities, assets
AI-Ready Data Foundation
Structures and cleans your security telemetry at ingest, so AI models operate with maximum accuracy and minimal tuning overhead.
Temporal and Behavioral Context
Tracks how identities and assets change over time, giving your team the historical perspective to dismiss false positives instantly.
Multidimensional Anomaly Discovery
Surfaces sophisticated, cross-vector threats that signature-based tools miss, by analyzing complex relationships across your entire infrastructure.
Partner-Ready Delivery Model
Integrates with your existing MSSP or security stack for immediate value, without a costly re-architecture.
Built by Operators and Scientists
Engineered by practitioners who know real-world SOC friction, alongside data scientists pioneering Rough-Set mathematics for cybersecurity.
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.
Featured Resources
The latest insights on AI-ready security data, anomaly detection, and the Cognitive Data Layer. (Note: Registration required for some resources.)
Cognitive Data Layer (CDL) Explainer/WP
Understand how the Cognitive Data Grid transforms raw telemetry into machine-usable knowledge.
AI-Ready Data Infrastructure Survey
Evaluate whether your current stack is ready for agentic SOC and autonomous security workflows.
UAD Overview
A deep dive into Unsupervised Anomaly Detection and how it finds the threats signature-based tools miss.
Partner Brief
A guide for MSSPs and technology vendors looking to integrate the KG Cognitive Data Platform or resell our security offerings.
Want to Know More?
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