Samuel A. Cordoba
Speaker | Strategic CISO | Cybersecurity Executive | Independent Security Researcher | Adversary Emulation Enthusiast
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Spoke at international conferences on cybersecurity, AI, and data protection; roles included trainer, speaker, and panel moderator for ISACA, Internet Society ISOC, the Colombian Government, and Universities. Public speaking engagements on LinkedIn.
A Systems Engineer and Cybersecurity Executive with 10+ years of experience spanning banking, oil & gas, and government sectors. Recognized for thought leadership and impactful presentations, he has represented major organizations in national cyber defense initiatives, partnering with the Ministry of National Defense to influence policy changes that significantly improved critical infrastructure protection. As a seasoned trainer and educator, he successfully led and managed a company-wide cybersecurity awareness program for a nationwide workforce of 2,000+ employees, delivering targeted training that fundamentally elevated organizational security posture. CISSP certified, he excels in designing, implementing, and managing high-level security programs aligned with strategic objectives and compliance standards. He is particularly interested in the integration of AI and Cybersecurity, Cloud Security, adoption of DevSecOps, Threat Simulation, zero-trust architecture, and supply chain and third-party risk management.
Area of Expertise
Topics
“Security Frameworks & Red Teaming: A Powerful Duo for Protecting AI and LLM Applications
As AI and large language models (LLMs) become increasingly embedded in real-world applications — from chatbots and copilots to security tools and customer service — the attack surface is growing faster than our ability to secure it.
This talk explores combining security frameworks with red teaming methodologies to build resilient, secure AI/LLM systems. Using real-world attack scenarios like prompt injection, model abuse, and data leakage, we’ll show how frameworks such as the OWASP LLM Top 10, NIST AI Risk Management Framework, and MITRE ATLAS can guide developers, security teams, and researchers in identifying and mitigating risk.
But frameworks are only the first step. We’ll go beyond theory and into practice, demonstrating how red teaming can expose hidden vulnerabilities in AI pipelines, from model behavior to prompt engineering flaws to inadequate output filtering. Attendees will walk away with a practical roadmap for evaluating, testing, and hardening their AI-powered applications.
Whether building an LLM app, defending one, or breaking one, this talk will help you connect structured defense with adversarial testing in a rapidly evolving landscape.
CyberBay 20225
AI Applied to Operational Technology Environments: Safeguarding Critical Infrastructure in Real Time
BSides Orlando 2025 Sessionize Event
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