Data protection
Endpoint and email DLP, exception lifecycles, policy tuning, false-positive reduction, and data handling controls.
Cybersecurity Engineer specializing in data protection, endpoint and cloud controls, security operations tooling, and the engineering decisions that make defenses practical.
From policy controls to investigation workflows, security engineering is about balancing detection, risk, business context, and maintainable operations.
Endpoint and email DLP, exception lifecycles, policy tuning, false-positive reduction, and data handling controls.
Security event investigation, data correlation, operational dashboards, alert workflows, and repeatable analysis.
Working across endpoints, identity, and cloud visibility to turn technical control decisions into usable defenses.
Investigate attempted exfiltration of customer SSNs, PCI cardholder data, and proprietary source code. Distinguish blocked attempts from confirmed disclosures, review evidence, and choose a proportionate response.
Open each evidence artifact before making a decision.
Evidence reviewed: 0 / 3
This lab is an educational simulation of sensitive-data protection. All people, devices, documents, identifiers, payment data, alerts, and event timelines are fictitious or redacted. The scenarios are illustrative, not representations of an employer's internal policies or procedures.
Hands-on demonstrations of interface design, engineering thinking, and problem solving.
Investigate synthetic SSN, PCI cardholder-data, and source-code exfiltration attempts through evidence review and risk-based response decisions.
Open lab ↗Correlate SSN, PCI, and source-code exfiltration alerts with synthetic email, web, endpoint, and identity telemetry.
Run detections ↗Personal Astro site featuring terminal interactions, accessible responsive design, and static deployment workflows.
Examine repository ↗Inspect how identity, classification, endpoint, email, web, and SIEM controls work together.
Explore architecture ↗Configure SSN, PAN, and source-code detections; measure false positives and missed matches.
Tune a policy ↗Write and test regular expressions against labeled synthetic data and refine your detection logic.
Practice regex ↗Read illustrated design decisions and tradeoffs involving SSN policy tuning, correlation, and exception governance.
Read case studies ↗Explore my work here, or review the code behind the website. For job applications, this page is intended as a companion to my full résumé, not a substitute for it.