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Log Analytics at Petabyte Scale: Correlating Security Events Across Hybrid Cloud (Azure Arc) using Azure Data Explorer (Kusto)

Log Analytics

Correlating Security Events Across Hybrid Cloud (Azure Arc) using Azure

  • Use Case:

    Organizations operating in hybrid and multi-cloud environments struggle with detecting, correlating, and responding to security events in real time due to massive log volumes.

    A petabyte-scale log analytics system enables centralized visibility, rapid querying, and correlation of logs across Azure, on-premises, and third-party clouds to improve cybersecurity posture.

Objective

  • Build a scalable log analytics pipeline for hybrid cloud environments.

    Correlate security-related events across Azure and non-Azure infrastructures.

    Enable near real-time threat detection using Azure Data Explorer (Kusto) and advanced analytics.

    Provide dashboards and automated alerts for SOC teams.

Project Description

  • This project develops a petabyte-scale log analytics framework for hybrid cloud environments, leveraging Azure Arc to integrate on-premises and multi-cloud resources into Azure’s security ecosystem.

    Logs from diverse sources (firewalls, VMs, IoT devices, applications, and Kubernetes clusters) are ingested through Azure Monitor, Event Hub, and Log Analytics Workspace.

    Azure Data Explorer (Kusto) is then used to store, query, and analyze these logs with low latency. Security event correlation is achieved through KQL (Kusto Query Language) queries that identify patterns across datasets (e.g., detecting coordinated attacks, suspicious logins, or lateral movements).

    The framework supports real-time alerting via Azure Sentinel (SIEM), with dashboards for SOC analysts. The system ensures compliance, scalability, and resilience, while minimizing the need for raw log replication by federating queries across hybrid resources.
  • Azure Services Used :
    Azure Service Purpose
    Azure Arc Extends Azure management and security capabilities to on-premises, hybrid, and multi-cloud resources.
    Azure Data Explorer (ADX) Core log analytics engine; processes and queries petabyte-scale log/security event data using Kusto Query Language (KQL).
    Azure Monitor Collects metrics, telemetry, and logs from distributed infrastructure and applications.
    Azure Event Hub Provides scalable event ingestion for real-time security event streaming across hybrid environments.
    Log Analytics Workspace Centralized storage for ingested logs, serving as the foundation for advanced analytics.
    Microsoft Sentinel Cloud-native SIEM tool for security monitoring, correlation, automated detection, and response.
    Azure Functions Serverless functions to automate event-driven actions (alerts, remediation, log enrichment).
    Azure Machine Learning Trains ML models for anomaly detection, threat prediction, and intelligent event correlation.
    Power BI Creates interactive dashboards for visualization of correlated security events and analytics.