Summary
Varonis has launched a free AI Security Fundamentals training course designed to help security professionals navigate the complexities of securing AI deployments. The five-part video series covers essential topics including the AI Shared Responsibility Model, different classes of AI tools and their data access patterns, and proven strategies for mitigating AI-related security risks. The course distinguishes between integrated low-code, non-integrated low-code, no-code, and pro-code AI solutions, explaining the unique security considerations for each approach. Participants who complete the training receive CPE credits and a Certificate of Achievement suitable for LinkedIn profiles. Instructor Sean Hayes uses relatable analogies to explain access control concepts, comparing AI data access to different levels of trust granted to house guests versus service providers. The training emphasizes understanding how different AI implementations access sensitive data and provides practical frameworks for maintaining data security while enabling AI adoption across the organization.
