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Adversarial AI, Offensive Security Analyst
VanguardSenior Offensive Security Analyst leading AI-augmented red team engagements. Harnessing AI and automation for enhanced security operations across various threats and vulnerabilities.
Posted 6/9/2026full-timeMalvern • North Carolina, Pennsylvania, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite
Tech Stack
Tools & technologiesCyber SecurityPython
About the role
Key responsibilities & impact- Plan & Execute AI-Enhanced Attacks: Lead red team operations and penetration tests that incorporate LLM-driven techniques and agentic automation to simulate sophisticated adversaries at scale.
- Maintain human-in-the-loop oversight to ensure safe, controlled execution.
- Custom Tooling & Automation: Design or integrate custom offensive tools and scripts that use AI/ML (e.g. LLM APIs, automation frameworks) to accelerate vulnerability discovery, exploit development, and testing workflows.
- For example, develop internal frameworks that interface LLMs with red team C2 platforms (like MythicMCP, SliverMCP) to enable autonomous or semi-autonomous operations.
- Adversarial Simulation & Fraud Testing: Conduct adversarial exercises targeting both technical systems and fraud controls, using AI to emulate how attackers might abuse scale and automation.
- Work with fraud risk teams to simulate large-scale abuse scenarios (bots, deepfakes, automated scams) using AI capabilities.
- Collaboration & Purple Teaming: Partner closely with blue teams (SOC, Detection Engineering) and fraud prevention teams to share insights from AI-augmented tests.
- Help validate and improve detection and response for AI-driven attack techniques through joint purple team exercises.
- Reporting & Knowledge Sharing: Document attack scenarios, findings, and mitigations in clear reports. Present results and risk insights to both technical staff and executives, translating complex AI-augmented attack methods into actionable defense improvements.
- Mentor colleagues in adopting AI-assisted tools and foster a culture of innovation in the team.
Requirements
What you’ll need- 5–7+ years of hands-on experience in penetration testing, red teaming, or adversary simulation with a strong track record.
- Deep understanding of network/web application security, exploitation techniques, and attacker TTPs (MITRE ATT&CK).
- Proven experience leveraging AI/ML or automation in cybersecurity (e.g. using LLM APIs, scripting against AI services, building security chatbots or automation pipelines).
- Ability to craft effective prompts and interpret LLM outputs.
- Familiarity with integrating AI into tools or workflows (experience with frameworks like Model Context Protocol (MCP) servers is a strong plus).
- Proficiency in Python or similar languages for developing custom tools, automation scripts, and integrating APIs.
- Bachelor's degree in computer science, engineering, or equivalent experience.
- Industry certifications such as OSCP, CRTE or similar are preferred, demonstrating advanced offensive skills.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
penetration testingred teamingadversary simulationnetwork securityweb application securityexploitation techniquesAI/MLscriptingPythonprompt crafting
Soft Skills
collaborationmentoringcommunicationreportingknowledge sharinginnovation
Certifications
OSCPCRTE