Cybersecurity in the Age of AI
Overview
Cybersecurity in the Age of AI is a half-day course introducing the essential principles and practices for protecting AI systems and data. Participants gain a concise overview of key frameworks such as the NIST AI Risk Management Framework and ISO/IEC 27090, explore common security and privacy risks in AI implementations, and examine practical approaches for mitigating threats to large language models and other AI components. The session provides a focused foundation for understanding and managing AI-related risks in real-world environments.
This course is included in the AI Annual Learning Pass.
Schedule
Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.
Duration: 1/2 Day
Who Should Take This Course
Audience
Security Professionals, Data Scientists/Engineers, AI/ML Ops and DevSecOps Staff, AI/ML Developers, AI/ML Managers.
Topics Discussed
Students should have successfully completed AI Essentials before taking this workshop. It is also highly recommended to have knowledge, experience, or certification in system and network security to the level of CompTIA Security+ or higher.
Why You Should Take This Course
Upon completing this course, participants will be able to:
- Understand potential attack vectors targeting AI models
- Understand privacy risks in AI Systems
- Understand cybersecurity and privacy frameworks and best practices for AI systems
- Reason about potential risks and implement effective mitigation strategies in their organizations
Topics Discussed
- AI Security and Privacy Overview
- Privacy in AI Systems
- Guidelines and security frameworks for AI
- LLM Vulnerabilities and Mitigations