Over the last year, breakthroughs in generative AI have captivated consumer and enterprise interest — and organizations are scrambling to keep up with technology while navigating its growing attack surface.
Join CrowdStrike’s Chief Scientist, Dr. Sven Krasser, and VP of Portfolio Marketing, Scott Simkin, for an in-depth discussion on large language models (LLMs), top applications for security operations, and practical guidance for navigating emerging market offerings and the growing risks of generative AI. We’ll also peek behind the curtain at CrowdStrike’s LLM-based security technology, Charlotte AI, and hear early insights from beta customers.
What to expect:
- Learn the fundamentals of LLMs and the value they bring to security teams
- Discover the emerging attack surface of LLMs and potential risks of generative AI tools
- Understand key criteria organizations should consider when evaluating and comparing LLM technologies
Featured Speakers
Scott Simkin
Vice President, Head of Portfolio Marketing, CrowdStrike
Scott Simkin is Vice President, Head of Portfolio Marketing at CrowdStrike. He brings deep cybersecurity expertise to the intersection of category creation, driving outsized revenue growth and building successful teams. Prior to joining CrowdStrike, Scott served in marketing leadership roles at Zscaler and Palo Alto Networks, where his team introduced the Extended Detection and Response (XDR) category to the market and ran portfolios covering Zero Trust network access, secure web gateway, security orchestration automation and response (SOAR), endpoint security, user behavior analytics, network traffic analysis, threat intelligence, and IoT security, among others. Prior to Palo Alto Networks, Scott held various leadership positions at Cisco, focused on network security and enterprise wireless. Scott holds a B.A. in marketing from the Leavey School of Business at Santa Clara University.
Dr. Sven Krasser
Chief Scientist, CrowdStrike
Dr. Sven Krasser is a Senior Vice President and Chief Scientist at CrowdStrike where he leads the machine learning efforts utilizing CrowdStrike’s Big Data information security platform. He has productized machine learning-based systems for almost two decades, has authored numerous peer-reviewed publications and is co-inventor of more than 30 patented network and host security technologies.
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