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Explore the critical security challenges facing AI systems in this comprehensive one-hour webinar that goes beyond traditional algorithm discussions to address real-world threats and vulnerabilities. Discover the hidden risks that extend far beyond model training and prompt engineering, including AI manipulation tactics, data poisoning attacks, bias exploitation techniques, model inversion threats, governance failures, and the dangers of unsafe automation. Learn practical defense strategies against sophisticated AI attacks such as adversarial attacks, model extraction attempts, and various forms of AI system manipulation that can compromise enterprise security. Gain insights into enterprise-level risk management frameworks specifically designed for AI implementations, while understanding how bias and governance breakdowns can create significant security vulnerabilities. Master essential strategies for building safe and resilient AI systems that can withstand emerging threats, and acquire AI security best practices that will remain relevant through 2026 and beyond. Understand the complexities of responsible AI deployment, including compliance requirements, model protection techniques, and the implementation of robust governance frameworks that ensure both security and ethical AI usage across organizational environments.
