AI-Enabled Threat Detection and Incident Response Case Study

This case study outlines the challenges faced by a large omni-channel retail enterprise operating across North America, which includes managing a distributed technology environment with various security tools. The organization encountered issues such as a high volume of security alerts, manual incident triage processes, and inconsistent threat visibility across multiple platforms. To address these challenges, the case study presents a solution involving a unified security event console, AI-assisted threat prioritization, and an incident response workflow. These components facilitate centralized log ingestion, event correlation, and guided investigation steps. The implementation of this solution resulted in a 45% reduction in incident response time, improved threat visibility, and strengthened defenses against cyber threats. Additionally, the case study highlights the technologies utilized, including Azure Data Explorer and Azure Machine Learning, and emphasizes the importance of a scalable security platform to support future growth.