What is the focus of the track?
The focus of the Enterprise AI: Security, Scale & Performance track is on the operational and architectural realities of running AI in high-stakes environments. It moves security, cost control, and stability from "afterthoughts" to first-class architectural constraints. You will learn how to design systems that handle unpredictable outputs, new attack surfaces, and shifting cost profiles directly within the system architecture to ensure reliability under real-world conditions.
How does this track approach AI security differently than traditional software security?
This track recognizes that AI introduces entirely new attack surfaces. You will dive into AI Security & Threat Modeling, specifically addressing prompt injection, data poisoning, and model manipulation. The goal is to learn how to build secure system boundaries and robust access controls specifically for AI integration in regulated environments.
Can we really treat "token economics" as a technical architectural constraint?
Yes. This track treats inference costs, latency, and throughput as primary engineering challenges. You will learn how to design architectures that are optimized for performance and cost-efficiency, ensuring that "token economics" are managed through technical design rather than just procurement budgets.
How do you maintain system reliability when the AI component is probabilistic?
The sessions focus on Reliability & Failure Handling, teaching you how to implement fallback strategies and circuit breakers for non-deterministic components. You’ll learn how to design for partial failure, ensuring that the rest of your enterprise system remains stable even when an AI model provides unpredictable or shifting outputs.
What are the specific requirements for operating AI in regulated industries?
The track covers Compliance & Governance, focusing on data protection, auditability, and traceability. You will learn how to build systems that allow you to monitor for quality drift and trace AI-driven decisions, which is essential for maintaining safety and meeting regulatory standards in production operations.
