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Nathan Williams

Senior Threat Intelligence Analyst at Palo Alto Networks

Summary

Experience

Senior Threat Intelligence AnalystPalo Alto Networks
Santa Clara, CAJul 2022Present
  • Led threat hunting operations, uncovering 3 previously undetected APT campaigns targeting critical infrastructure, preventing potential losses exceeding $5M.
  • Developed and deployed automated threat intelligence feeds, reducing manual analysis time by 30% and improving threat detection accuracy by 25%.
  • Authored 50+ detailed intelligence reports on emerging threats and vulnerabilities, directly informing C-suite decision-making and strategic security investments.
Threat Intelligence AnalystCisco
San Jose, CAJun 2020Jun 2022
  • Monitored and analyzed over 100,000 daily security events using Splunk and Recorded Future, identifying and escalating 200+ high-severity threats.
  • Contributed to the development of 15+ YARA rules and Snort signatures, enhancing intrusion detection capabilities and blocking 1,000,000+ malicious attempts annually.
  • Collaborated with incident response teams to provide timely intelligence, shortening average incident resolution time by 15%.
Junior Security AnalystOptum (UnitedHealth Group)
Irvine, CAJul 2018May 2020
  • Performed daily log analysis and vulnerability scans, identifying and remediating 50+ critical vulnerabilities in network infrastructure.
  • Assisted in incident response activities, contributing to the successful containment and eradication of 10+ malware infections.
  • Developed Python scripts to automate routine data collection tasks, saving approximately 5 hours per week for the security team.

Projects

Automated OSINT Collection Framework
Mar 2021Jan 2022
  • Developed a Python-based framework to automate the collection and parsing of OSINT from various public sources, including social media, forums, and dark web dumps.
  • Integrated with MISP to automatically ingest and correlate IOCs, significantly reducing manual data entry and improving threat context.
  • Reduced initial research time for new threats by 40% through efficient data aggregation and analysis.
Malware Analysis Sandbox Integration
Jan 2023Present
  • Designed and implemented a script to integrate a local malware analysis sandbox (Cuckoo Sandbox) with threat intelligence platforms.
  • Automated the submission of suspicious files for dynamic analysis and extracted new IOCs, which are then pushed to SIEM for proactive detection.
  • Enhanced incident response capabilities by providing rapid, in-depth analysis of unknown malware samples.

Education

San Jose State UniversityM.S. in Cybersecurity
San Jose, CAAug 2018May 2020
  • Thesis: "AI-Driven APT Detection and Attribution in Enterprise Networks"
  • Achieved a GPA of 3.9/4.0.
California Polytechnic State University, San Luis ObispoB.S. in Computer Science
San Luis Obispo, CASep 2014Jun 2018
  • Graduated Cum Laude with a specialization in Network Security.
  • Recipient of the Dean's List honor for 6 consecutive semesters.

Skills

Threat Intelligence
OSINTDark Web MonitoringAPT AnalysisThreat ModelingIndicators of Compromise (IOC)MITRE ATT&CK Framework
Security Tools
Splunk ESRecorded FutureMaltegoMISPVirusTotalMandiant Advantage
Cybersecurity Concepts
Incident ResponseVulnerability ManagementRisk AssessmentSecurity ArchitectureDigital ForensicsCloud Security (AWS, Azure)
Programming & Scripting
PythonBashSQLYARASnortJSON/XML