LIVING RÉSUMÉ
Luke Wescott
Detection Engineer II at Sublime Security, working across detection engineering and machine learning to turn interpretable signals into better email security verdicts. I research prompt injection, calendar phishing, and AI-generated email artifacts. M.Sc in AI & Machine Learning. Off the clock: French lessons, hockey, books, and new music.
EXPERIENCE
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- Detection Engineer II Sublime SecurityMay 2025 — Present Remote
- Investigate emerging email attacks and AI-generated artifacts, translating findings into detection hypotheses and technical publications.
- Curate atomic detection rules that shape ML-based verdicts — giving detection engineering direct influence over model outcomes to maximize efficacy.
- Continuously update, manage, and expand the ruleset while tuning false-positive and false-negative rates against constantly evolving threats.
- Mentor a growing team of 3 junior detection engineers, support customer escalations, and interview candidates — helping grow the team from 5 to 13.
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- Detection Engineer NuHarbor SecurityJun 2024 — May 2025 Colchester, VT
- Designed and deployed detection-as-code CI/CD pipelines, improving threat detection by 40%.
- Automated threat detection using Python and SPL, reducing false positives by 30%.
- Conducted threat modeling and attack-path analysis and collaborated with intelligence teams to integrate new threat feeds, expanding detection coverage.
- Built proprietary tools to automate SOC workflows, improving tuning efficiency by 50%, and optimized detection systems for GCP and Azure environments.
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- Security Engineer NuHarbor SecurityJun 2023 — Jun 2024 Colchester, VT
- Built and administered Splunk environments that gave SOC analysts real-time insight and improved data-collection efficiency.
- Aligned detection strategies to client requirements, improving alert fidelity.
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- IT Staff Evergreen Parks & Recreation District2021 — 2022 Evergreen, CO
- Resolved technical issues across POS systems and networks, and built a Python ticket-management app that cut response time by 25%.
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- Technology & Merchandising Pro Apple2019 — 2021 Denver, CO
- Deployed and managed the entire fleet of demo products via internal MDM, and led the merchandising reset for the flagship store relocation.
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MEDIA & INTERVIEWS
The rise of calendar phishing
A conversation with Catalin Cimpanu about calendar-based phishing campaigns.
Invisible prompts and inbox AI agents
Discussing hidden Unicode instructions in invoice scams targeting AI agents.
Calendar phishing explained
Commentary on calendar scams.
Remember Postini?
Discussing callback phishing hidden in automated notifications, alerts, and receipts.
EDUCATION
M.Sc — Artificial Intelligence & Machine Learning
Colorado State University Global
Jan 2025 · GPA 3.96
B.Sc — Computer Science
Colorado State University Global
2023 · GPA 3.9
CERTIFICATIONS
Splunk Certified Enterprise Admin · exp. Aug 2026
Splunk Certified Power User · exp. Aug 2026
CAPABILITIES
PythonMQLSplunk / SPLDetection-as-CodeGitOps · CI/CDMachine LearningTensorFlowCloud Security (AWS·Azure·GCP)MITRE ATT&CKAnomaly DetectionEmail AnalysisMicrosoft SentinelLinuxICS / Calendar AnalysisPrompt InjectionAI/ML Signal Design
SELECTED WORK & WRITING
Hiding attacks in plain sight with invisible Unicode tag characters
Sublime Security · Oct 2026 ↗
Calendar phishing attacks expanding across service providers
Sublime Security · Jul 2026 ↗
Surge in callback phishing attacks abusing auto notifications, verifications, alerts, receipts, and more
Sublime Security · Jun 2026 ↗
Prompt injection attacks don’t look like what you’re seeing in social media and headlines
Sublime Security · May 2026 ↗
Using AI signals within malicious email for attack detection and threat hunting
Sublime Security · Apr 2026 ↗
You’ve been invited to join a Meta for Business scam!
Sublime Security · Nov 2025 ↗
Content-Sync Deployment Automation
−70% manual deploy time · Bash + Python
ML SPL Generator — M.Sc capstone
Turns threat-writeup IOCs into Splunk SPL