Designing Secure AI Products
About this session
Building secure AI products requires more than code scanning and security testing at the end of the development lifecycle. Security decisions made during design have a far greater impact on reducing risk, especially in modern AI applications involving LLMs, agents, RAG, APIs, and third-party services. In this workshop, we'll explore how to identify architectural risks early, think like an attacker during system design, and incorporate security into the development process without slowing innovation. Using a real-world AI application, we'll demonstrate how AI-assisted analysis can help teams uncover critical risks in minutes and translate them into actionable security requirements and developer guardrails.
Speaker
Key takeaways
- How to build secure products
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