01 / Professional experience
Less noise. More useful detections.
Improving detection fidelity in a multi-tenant SOC.
SIEM tuningMITRE ATT&CKTelemetry analysis
Explore the engineering approach ↗- Problem
- Recurring benign patterns in high-volume SIEM alert categories created unnecessary review.
- Contribution
- Restructured correlation logic and telemetry filtering, with detection tuning grounded in analyst investigations.
- Approach
- Review alert patterns, refine detection logic, map coverage, and validate the resulting signals.
- Outcome
- An 80%+ reduction in false positives across the targeted high-volume categories, as reported in Cameron’s 2026 résumé.
02 / Independent project · Early access
Context before conclusions.
ClarityPipeline: application-aware security workflows.
ElasticApplication contextHuman review
Explore the public demo ↗- Problem
- An alert alone often leaves analysts without enough application and endpoint context to make a clear decision.
- Contribution
- Building an independent Elastic-based security workflow project and the associated consulting brand.
- Approach
- Connect telemetry, context, and evidence; keep evidence gaps visible and security decisions under human review.
- Outcome
- An early-access platform with a public walkthrough using synthetic examples. No customer deployment results are claimed.
03 / Personal learning project
A local lab for better triage.
Exploring AI-assisted alert enrichment with local inference.
ElasticsearchFastAPILocal LLMs
Read the project notes ↗- Problem
- Investigating how local AI can help explain security alerts without sending sensitive logs to external AI services.
- Contribution
- Built a personal lab combining Elasticsearch, Kibana, a FastAPI enrichment layer, and locally hosted LLM inference.
- Approach
- Pull related telemetry into focused evidence bundles and explore summaries and investigation context.
- Outcome
- A documented learning project exploring enrichment and automation boundaries; not an employer production deployment.