Hawkeye XDR

Enterprises needed a unified platform to manage security across multiple endpoints, networks, and cloud environments while reducing alert fatigue and improving response times. Existing SIEM solutions generated thousands of uncorrelated alerts daily, with security teams spending over 4 hours on average to investigate and respond to each incident. The client needed a solution that could handle 500+ events per second while maintaining sub-second query performance across petabytes of log data.

We developed a cloud-native XDR platform with AI-powered threat detection, automated incident response workflows, real-time dashboards, and integration with 50+ security tools and data sources. The architecture uses event-driven microservices on Kubernetes, with Apache Kafka handling real-time stream processing at scale. We implemented ML-based anomaly detection using custom-trained models on historical threat data, achieving 99.2% accuracy in threat classification. The automated playbook engine reduces manual intervention by executing pre-defined response actions within milliseconds of threat confirmation.