Building an Al-Enabled Threat Detection & Incident Response

Securing Omni-Channel Retail with AI

Protecting a Retail Giant A large omni-channel retail enterprise with hundreds of stores and a massive digital footprint faced a critical security overload. Their distributed environment—spanning Point-of-Sale (POS) systems, cloud infrastructure, and corporate networks—generated a high volume of disjointed alerts. Manual triage led to delayed investigations, leaving them exposed to ransomware and credential abuse.

Threat Detection & Incident Response Platform powered by Azure Sentinel and Machine Learning.

• AI-Assisted Prioritization: Implemented event correlation and risk scoring to cut through the noise, identifying high-impact incidents and attack chains automatically.
• Automated Response: Deployed Incident Response Workflows with guided investigation steps and automated containment actions to drastically reduce manual effort.
• Unified Visibility: Created a Unified Security Event Console to ingest and visualize logs from endpoints, POS systems, and cloud services in a single pane of glass.

Download the full case study to see the Azure Data Explorer and Machine Learning integration architecture.