Keeping AI systems secure, cost-efficient, and stable under real-world conditions.

AI systems introduce new operational realities into enterprise environments: unpredictable outputs, variable latency, shifting cost profiles, and entirely new attack surfaces. LLM security, AI governance, and cost control are not concerns you hand to a separate team – they are architectural decisions that determine whether your system holds under real-world conditions. This track is for engineers who design for reliability, security, and scale from the start – not as an afterthought when something breaks in production.

Enterprise AI: Security, Scale & Performance

Learn from Industry Leaders about:

  • AI Security & Threat Modeling: Prompt injection, adversarial inputs, data poisoning, model manipulation, and secure system boundaries for AI integration 
  • Security, Compliance & Governance: Access control, data protection, auditability, and operating AI in regulated enterprise environments 
  • Scalability, Performance & Cost: Latency, throughput, inference cost, and token economics as first-class architectural constraints 
  • Reliability & Failure Handling: Fallback strategies, circuit breakers, and designing for partial failure in probabilistic systems 
  • Observability, Evaluation & Production Operations: Monitoring AI outputs for quality drift, tracing decisions, and managing model lifecycle in production

Track Speakers 2025

Track Program 2025

Track Sessions on Jax London

Track Sessions on Jax London

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