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Cybersecurity Data Analytics for the AI Era

Turn security telemetry into high-signal, AI-ready knowledge for faster investigation and analysis.

— Analyze structured and unstructured security data across logs, events, alerts, users, assets, and systems. — Create time-aware context using Knowledge Grid's Cognitive Data Model, not just static search or storage. — Surface patterns, relationships, and behavioral changes that are difficult to find with traditional log management tools.
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How We Differ from Traditional Log Management Solutions

Traditional log management solutions are built primarily to collect, store, search, and retain security data for human investigation. Knowledge Grid's Data Analytics Service goes further by transforming raw logs, events, and telemetry into AI-ready knowledge structures that preserve behavioral, temporal, and contextual relationships across massive data sets.

How Knowledge Grid's Data Analytics Service differs from traditional log management
Capability Traditional log managementKnowledge Grid Data Analytics Service
Primary purpose Collect, store, search and retain logs for human investigation Transform logs, events and telemetry into structured, time-aware knowledge
How analysis happens Manual searches, predefined rules and dashboards Patterns, relationships, trends and anomalies surfaced from contextual data
Context across entities and time No: Rebuilt on every query Yes: Preserved by the Cognitive Data Layer
Data preparation No: Repeated per tool and per query Yes: Done once at ingest and reused
AI-driven workflows No: Raw events and search results Yes: Structured knowledge for triage, investigation and decision support
Your existing log management Yes: Stays in place Yes: Works alongside it

Instead of forcing security teams to manually search through high-volume data or depend solely on predefined rules and dashboards, Knowledge Grid helps identify patterns, relationships, trends, and anomalies that are difficult to see in traditional log repositories.

The result is a more intelligent analytics layer that reduces data preparation complexity, improves investigation speed, and gives security teams and AI-driven workflows a stronger foundation for threat detection, triage, and decision support.

Data Analytics Service (DAS)

Knowledge Grid's Data Analytics Service operates on top of the Cognitive Data Layer and provides high-performance analytics on structured, contextual, time-aware knowledge — rather than isolated queries to event searches.

Data Flow Overview

  1. 01

    Security telemetry

    • Logs, events and alerts
    • Users, assets and systems
    • Cloud, network and applications
    • Structured & unstructured
  2. 02

    Ingest & normalization

    • Ingest filters
    • Normalization rules
    • Data routing
    • High-fidelity delivery
  3. 03

    Cognitive Data Layer

    • Temporal Data Grid
    • Time and behavior
    • Relationships and representation
    • Uncertainty
  4. 04

    Data Analytics Service

    • Correlation and pattern analysis
    • Unsupervised anomaly detection
    • Multi-vector search
    • Dashboards and reporting
  5. 05

    AI-ready outcomes

    • Natural-language queries (KGQL)
    • Agentic AI workflows
    • Faster triage and investigation
    • SIEM, SOAR and data lake handoff

Your existing log management stays in place. Knowledge Grid runs alongside the current stack — enriching investigations and supplying AI-ready context across systems, rather than replacing them.

Data Analytics Service Matrix

Transform raw telemetry into strategic clarity. Our Data Analytics service provides the deep visibility required to secure and optimize complex enterprise environments through high-velocity data correlation and AI-driven insights.

Core Features

— Advanced Client Portal with robust analytics capabilities — Data Tools for analyzing data in custom schemas — Flexible Data Sources — both structured & unstructured data — Automated regulatory compliance reporting

Service Plan Comparison

Essential

Entry level affordability for getting started with essential features.

Premium

Advanced capabilities with improved features to optimize your analysis.

Data Analytics Service — Plan Options

Data Analytics Service feature comparison: which of the 16 features are included in the Essential plan and the Premium plan.
Features Essential Core UADS capabilities for effective threat detection. Premium Advanced UADS for deeper visibility and response.
Unsupervised Anomaly Detection (UADS Core) Included Included
Real-time Data Processing Included Included
Automated Baseline Learning Included Included
Multi-Source Log Ingestion Included Included
Threat Scoring & Prioritization Included Included
AI-Driven Anomaly Insights Included Included
Alerting & Notifications Included Included
Case Management Integration Not included Included
MITRE ATT&CK Mapping Not included Included
Custom Detection Views & Dashboards Not included Included
Historical Search & Investigation Not included Included
API Access & Integrations Not included Included
Advanced Entity & Behavior Analytics Not included Included
Data Retention (Up to 1 Year) Not included Included
Priority Support & SLA Not included Included
Dedicated Customer Success Manager Not included Included

*12 — Note that API Integration is available as an optional add-on item

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