2025-07-19
Cloud SOC Analytics Workbench
Built a cloud-native security analytics platform for faster investigation and better control visibility.
Designed an analytics workbench for security operations that ingests telemetry, enriches detections, and supports investigation workflows with secure access patterns.
Security EngineeringDetection EngineeringData PipelinesCloud Architecture
Context
Security teams were switching across too many tools and lacked consistent access controls for sensitive telemetry. The workbench aimed to centralize detection and investigation workflows while protecting analyst operations.
Architecture decisions
- Ingested telemetry through streaming and batch paths so high-volume and deep-history use cases could coexist.
- Introduced enrichment stages for asset context, identity metadata, and severity scoring.
- Isolated analyst access through role-aware interfaces and approval flows for sensitive queries.
Security analysis
- Mapped threats around data poisoning, insider misuse, credential compromise, and unauthorized investigative access.
- Added evidence retention, immutable audit trails, and privileged access monitoring.
- Documented the controls that protected telemetry integrity and response workflows during incidents.
Delivery impact
- Showed a full-stack security engineering story that spans architecture, data flow, and access control.
- Created reusable assets for interviews involving SOC modernization, cloud security, or secure data platforms.
- Balanced operational usability with governance expectations for sensitive environments.
Architecture diagram
System boundaries, data flow, and core platform components.
Threat model
Trust boundaries, risk areas, and design decisions for safer operation.