As organizations rapidly deploy AI systems, security teams struggle to assess emerging threats that traditional security practices don’t address. This course teaches you how to identify and defend against cutting-edge AI attack vectors including adversarial machine learning, agentic AI exploits, and LLM-specific vulnerabilities. Drawing from Splunk SURGe’s breakthrough research on AI threats, cybersecurity expert Ryan Kovar outlines structured threat modeling frameworks specifically designed for AI deployments. Through real-world attack scenarios and defense strategies, develop the practical skills required to evaluate AI security risks before they become breaches—positioning yourself as a critical resource as your organization navigates AI adoption.
