Building Secure AI Platform Infrastructure - A Zero Trust Framework

Learn to implement a comprehensive zero trust security framework specifically designed for AI platform infrastructure in this 22-minute conference talk from Conf42 Platform Engineering 2025. Explore the critical security challenges facing AI systems and discover how zero trust principles can address vulnerabilities in machine learning workloads. Master the core components of zero trust architecture including identity and access management, network segmentation, microsegmentation strategies, and data protection mechanisms for AI models. Understand runtime security monitoring and observability practices essential for maintaining secure AI environments. Follow a structured phased approach to implementing zero trust in your organization, covering essential technologies, tools, and best practices. Examine regulatory compliance requirements and navigate common implementation challenges. Gain insights into emerging trends in AI security and prepare for future developments in securing artificial intelligence platforms. The presentation covers practical implementation strategies, real-world considerations, and actionable guidance for platform engineers and security professionals working with AI infrastructure.