As organizations push the boundaries of AI integration and API development, managing and securing AI-driven applications is becoming a critical challenge. Developers need a robust “AI as APIs” strategy to ensure seamless integration, optimal performance, and long-term scalability of GenAI applications.

Join Marco Palladino, Co-founder & CTO of Kong, and Anuj Sharma & Suresh Veeragoni from AWS, as they explore how enterprises can deploy, optimize, and secure AI applications using the Kong AI Gateway and Amazon Bedrock.

You will learn how to implement advanced multi-LLM routing, semantic governance, and AI security controls to future-proof your AI infrastructure.

Whether you're building AI-powered applications, managing AI traffic, or ensuring governance across multiple LLMs, this session will equip you with the best practices and tools to confidently scale AI.

Key Takeaways:

✅ Master AI Infrastructure Fundamentals – Learn how to integrate GenAI applications seamlessly into your enterprise architecture.

✅ Build the Control Plane for Enterprise AI – Discover the role of AI Gateways in orchestrating and managing AI workloads.

✅ Optimize AI Traffic Management – Implement multi-LLM routing and semantic prompt engineering for efficient AI workflows.

✅ Enforce AI Security & Governance – Apply robust governance, access controls, and deployment strategies to ensure AI integrity.

✅ Run AI at Scale with AWS & Kong – Leverage the power of Kong AI Gateway and Amazon Bedrock to build scalable, secure, and high-performance AI applications.

Register for this webinar to gain practical insights from industry leaders and learn how to future-proof your AI strategy with best-in-class API management and AI governance tools.