Supercharging Security with RAG
Presented BNY Mellon's flagship innovation for security analysts, demonstrating how Retrieval-Augmented Generation (RAG) accelerates rule development, redundancy detection, and threat intelligence automation.
Keynotes and technical presentations at major industry conferences including SuriCon, Splunk .conf, Databricks Data & AI Summit, and more.
Presented BNY Mellon's flagship innovation for security analysts, demonstrating how Retrieval-Augmented Generation (RAG) accelerates rule development, redundancy detection, and threat intelligence automation.
Detailed the process of standing up enterprise ML capabilities at BlockFi, from infrastructure to governance, scaling data science maturity in financial services.
Demonstrated real-world crypto transaction monitoring and fraud detection through graph analytics and machine learning at BlockFi.
Explored the journey from reactive to prescriptive analytics in security operations, covering the advanced analytics maturity model and ML-driven incident response automation.
Taught security teams how to transform real-world threat models into actionable Splunk queries and automated detections.
Hands-on workshop teaching security practitioners how to build operational Splunk apps, covering methodology, data enrichment, visualization, and machine learning techniques.
Keynote on applying machine learning toolkits to Suricata data for threat detection, covering data exfiltration, port analysis, and advanced threat use cases.