— Tucker Clark

I’m an offensive security professional with 7 years of experience delivering red team operations, penetration testing, and application security assessments across network, cloud, web, and AI environments.

7 years in techred team · penetration testing · AI securitytuckerclark91@gmail.com

Experience

TikTok

February 2025 – Present

New York, NY

Senior Offensive Security Engineer

  • Engineered and scaled a continuous automated penetration testing deployment across 4 tenancies, expanding network coverage to ~137K hosts.
  • Defined scope, approvals, and guardrails for continuous testing operations via a comprehensive rules of engagement framework, enabling seamless integration of additional network segments and infrastructure into automated testing pipelines.
  • Built automated scan-to-ticketing integrations that ingested findings directly into the internal SOC platform, and developed SOPs, CLI tooling, and LLM-integrated API connectors enabling the broader team to operate and extend the deployment independently.
  • Integrated offensive operation findings into a breach and attack simulation platform via custom Python scripts spanning multiple infrastructure segments, providing actionable data for detection engineering.
  • Built automated WAF posture validation tooling against load-balanced targets using categorized payload wordlists across common web vulnerability classes, tracking allow/block outcomes for baseline efficacy measurement.
  • Nominated for two awards and recipient of one for solo-executing PCI DSS tests of over 200,000 hosts.
  • Performed PCI penetration tests, AI security reviews, mobile device management evaluations, voice synthesis model assessments, web application security assessments and internal network penetration tests.

Google (Mandiant)

May 2022 – February 2025

Remote

Senior Red Team Consultant

  • Nominated for Mandiant’s 2024 Consulting Excellence Award for efforts helping to secure the 2024 United States Presidential Election.
  • Won Mandiant’s 2024 Thought Leadership Award for drafting novel research on the integration of Red Teaming and Artificial Intelligence.
  • Drafted and delivered Mandiant’s first Large Language Model penetration testing service line, primarily focusing on adversarial input and data leakage.
  • Authored and published the Red Teaming Artificial Intelligence (AI) article in the 2024 M-TRENDS Report.
  • Directly emulated advanced threat actor TTPs across multiple red team and penetration testing engagements against Windows, Linux, and Mac environments.
  • Presented findings to client management and executive teams ranging from operational engineers to the executive suite of Fortune 50 companies.
  • Conducted extensive web application and source code review including both dynamic and static application security testing across a variety of technology stacks.

Tennessee Valley Authority

May 2020 – May 2022

Chattanooga, TN

Cybersecurity Analyst

  • Conducted Breach and Attack Simulations (BAS) in custom lab environments to determine the effectiveness of Endpoint Detection and Response solutions.
  • Established, managed, and ran a government bug bounty/vulnerability disclosure program through HackerOne.
  • Launched customized Key Performance Indicators utilizing EPRI research, creating metrics for interpreting human risk factors in overall cybersecurity risk posture.
  • Automated risk assessment and analysis of 3,880 mobile device users and applications.

Research

Expertise

Red Teaming & Penetration Testing

Extensive experience with EDR technologies and evasion, building C2 infrastructure, red team tooling, and AI/ML security assessments.

Certifications

OSWA, OSWP, Mandiant CRT, PNPT, CISA RVA/HVA Operator Skills Test

Programming Languages

Python, JavaScript, CSS, C++

Security Tooling

Continuous automated testing platforms, breach and attack simulation tools, WAF validation frameworks, custom C2 frameworks

Education

University of Tennessee at Chattanooga

May 2020Chattanooga, TN

B.S. in Computer Science: Data Science

  • Freshman Mathematics Award; UTC Tech Symposium Engineering 3rd Place Overall CS
  • Teaching Assistant for Introduction to Machine Learning
  • NSF S-STEM Scholarship; UTC URaCE Summer Fellow
  • Selected for COLAB’s GIGTANK startup accelerator to explore startup viability of research projects.

Contact