Abstract: In today’s evolving threat landscape, Security Operations Centers (SOCs) face obstacles such as managing overwhelming volumes of data and countering increasingly complex attack vectors. To address these challenges, forward-thinking organizations are integrating Artificial Intelligence (AI) and Machine Learning (ML) into their SOC workflows. This webinar sheds light on how to build an AI-enhanced SOC that accelerates incident detection, streamlines response times, and reduces analyst fatigue. It will explore the foundational components needed to effectively embed AI into a SOC, including data ingestion, anomaly detection, and automated threat intelligence. Practical strategies for leveraging AI in various SOC functions—from threat hunting and real-time alert prioritization to incident response automation—will be discussed, demonstrating how AI can enhance, rather than replace, the expertise of SOC analysts.
Key Takeaways:
- Best practices for implementing AI-driven tools in your SOC
- Real-world case studies that demonstrate measurable improvements
- Key metrics to track AI effectiveness and ROI
- Challenges to anticipate and how to overcome them
Speaker:
Randy Thomas, Director of Advanced Security Services at Syntax
Bio: Randy is responsible for the SOC, security product development (which includes Detection as Code), DFIR, incident command (IC), vulnerability management, threat intelligence-driven security operations, threat hunting, and offensive security at Syntax, a leading managed cloud provider.
Randy has over 21 years of experience in enterprise cyber security in various environments, including the U.S. Military and intelligence for commercial ECOM, retail, and MSP/MSSP markets. He leverages his combined 28+ years of enterprise IT experience and 18 years of experience in DevOps/DevSecOps SOC, security engineering, and software development to deliver high-quality security products and solutions.
