Martin Willing
Senior Incident Responder at CANCOM
Germany
Summary
👤
Senior🎓
Top SchoolMartin Willing is a Senior Incident Responder based in Germany with 11 years of hands-on experience in digital forensics, incident response, memory and cloud forensics, mobile forensics, malware analysis, threat hunting and detection engineering. He has held senior roles across industry, public sector and consultancy—from state cyber divisions and police investigator work to leading cyber security teams in enterprise and defense firms, and founding specialist forensics consultancies. Martin blends investigative rigor from his law-enforcement background with practical defensive engineering, including Defensive PowerShell and memory forensics techniques, to close detection gaps and guide complex incident triage. Known for moving between blue team leadership and deep technical response, he repeatedly steps into high-pressure environments to drive root-cause analysis and remediation. An entrepreneur at heart, he has also run small creative businesses, reflecting a knack for communication and producing clear, actionable intelligence for diverse stakeholders.
11 years of coding experience
4 years of employment as a software developer
Diploma Study of Public Administration, Law Enforcement, Diploma Study of Public Administration, Law Enforcement at University of Applied Sciences Wiesbaden, Germany
German, English
Github Skills (61)
entra10
windows10
azure-active-directory10
microsoft-graph10
memory-dump10
powershell-module10
excel10
ip-geolocation10
powershell10
incident-response10
memprocfs10
ipinfo9
ip-address9
ip-lookup9
ram9
Programming languages (10)
Github contributions (5)
evild3ad/yara-rules
Feb 2016 - May 2018
Contributions:15 commits, 11 pushes, 1 branch in 2 years 3 months
LETHAL-FORENSICS/MemProcFS-Analyzer
May 2021 - Jan 2023
MemProcFS-Analyzer - Automated Forensic Analysis of Windows Memory Dumps for DFIR
Contributions:11 releases, 119 commits, 3 PRs in 1 year 8 months
memory-dumpmemprocfswindowspowershellincident-response
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