As organizations race to adopt AI technologies, many overlook the complex -- and often vulnerable -- supply chains that power them. From open-source libraries and training data to model hosting and deployment pipelines, every layer introduces potential risk.
This talk from industry thought leader Yesenia Yser will unpack the anatomy of the AI supply chain and expose the weak points most commonly exploited by threat actors, including prompt injection, model poisoning, and malicious dependencies. She’ll examine real-world examples that illustrate how these risks manifest and offer practical strategies to fortify your AI stack -- from secure development practices and component validation to continuous monitoring and governance.
Whether you're an AI engineer, cybersecurity professional, or technical leader, this session will provide the insights and tools needed to secure your AI systems against emerging threats and maintain trust in open-source intelligence.