Securing the AI Supply Chain: Federal Strategies for Safe and Compliant Adoption

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Explore how organizations can strengthen oversight of AI-driven development environments and protect the integrity of both code and AI models used in mission-critical systems. Learn practical approaches for identifying risks within AI pipelines, improving governance of AI technology stacks, and aligning security practices with federal guidance such as NIST frameworks and emerging policy requirements. Attendees will gain insight into how agencies can safely expand their use of AI while maintaining visibility, compliance, and control across the broader software ecosystem.

Chet Hayes, Tyler Walden, Martin Stanley

Federal agencies are accelerating the adoption of artificial intelligence and machine learning. As these technologies are integrated into critical workflows, they introduce complex security and compliance challenges throughout the software supply chain. This webinar will examine the key challenges in managing AI/ML integrations across federal workflows.

Join an expert panel as they break down best practices for enhancing governance of AI stacks, mitigating risks, and maintaining compliance with evolving regulations. The discussion will explore how modern tools and techniques can secure not only your code but also your AI models throughout the software supply chain.

Key Takeaways

• Discover how to protect AI/ML pipelines by detecting risks in open-source components and third-party dependencies. • Learn best practices to govern AI systems across federal stacks while adhering to frameworks such as NIST and EO 14144. • Gain insights from leading industry experts into addressing threats and ensuring the integrity of AI/ML models.

Featured Speakers

Chet Hayes

Chief Technology Officer, Vertosoft

Tyler Walden

SVP of Product, Sonatype

Martin Stanley

AI and Cybersecurity Researcher, National Institute of Standards and Technology (NIST)