Aaron Escamilla
Aaron is a cybersecurity professional at NetStar where he leads efforts in AI-driven threat intelligence and detection engineering. With a background in systems engineering and automation, he specializes in applying machine learning to complex security workflows including certificate analysis, graph neural networks, and threat attribution. His recent work includes developing layered certificate scoring models for real-time SSL and TLS inspection and integrating human-centric AI design into SOC environments. Aaron is currently pursuing a master’s in Cyber Operations and Security, further deepening his research in applied AI and cryptography. He brings a practical and forward-looking approach to cybersecurity and is passionate about bridging the gap between research and operational outcomes.
Session
Learning OpenSSL can be intimidating, especially for beginners navigating cryptic commands and complex workflows. This talk introduces an interactive learning platform I have developed that uses simulated terminals, visual diagrams, quizzes, and hands-on labs to teach OpenSSL fundamentals in a more accessible and engaging way. Beyond the beginner experience, I will also share technical lessons learned from real-world deployments, including setting up TAXII servers with FIPS 140 compliance, handling OpenSSL limitations around subject string customization, and automating CRL updates where OpenSSL provides no built-in support. This session blends practical tools with deep technical insights to help teams confidently work with cryptographic systems.