Meet RFS
Senior Penetration Tester & Security Researcher specializing in AI Security, Unified Communications Security, Signals Intelligence, and Red Team operations.
RFS is a seasoned cybersecurity professional with extensive experience in penetration testing, security research, and AI security analysis. He brings a wealth of practical knowledge to the rapidly evolving field of artificial intelligence security, focusing on Large Language Models, Generative AI systems, and Agentic Infrastructure protection.
With a strong background in Unified Communications Security and Signals Intelligence, RFS has developed comprehensive expertise in identifying and mitigating security vulnerabilities across complex enterprise environments. His work spans from traditional network security to cutting-edge AI system protection.
As a Red Team operations specialist, RFS combines offensive security techniques with defensive strategies to provide holistic security assessments. His research contributions focus on emerging threats in AI systems, including prompt injection attacks, model inversion techniques, and autonomous agent security challenges.
- • LLM Vulnerability Analysis
- • GenAI Security Assessment
- • Agentic Infrastructure Protection
- • Multi-Cloud AI Security
- • Network Security Assessment
- • Web Application Testing
- • Red Team Operations
- • Social Engineering
- • Unified Communications Security
- • Signals Intelligence
- • Threat Intelligence
- • Security Architecture
- • Emerging AI Threats
- • Autonomous Agent Security
- • ML Model Protection
- • Future Attack Vectors
Published Research
- • "Advanced Prompt Injection Techniques in Large Language Models" - AI Security Journal
- • "Multi-Cloud AI Infrastructure Security Assessment Framework" - CyberSec Research
- • "Agentic AI Systems: Emerging Threats and Mitigation Strategies" - InfoSec Today
- • "Unified Communications Security in the Age of AI" - Network Security Review
Open Source Contributions
- • AI Security Testing Framework (ASTF)
- • LLM Vulnerability Scanner
- • GenAI Security Assessment Tools
- • Agentic Infrastructure Monitoring
Conference Presentations
- • DEF CON 32: "Breaking AI Agents: Advanced Attack Techniques"
- • Black Hat 2024: "The Future of AI Security: Challenges and Solutions"
- • BSides: "Practical AI Security for Penetration Testers"
- • OWASP Global: "Securing Large Language Models in Production"