Building AI agents that actually deliver in the real world is harder than it looks. In this webinar, you’ll get a front-row seat to both sides of the challenge: how to design and develop agents that are effective and reliable — and how to protect them against today’s evolving risks.

We’ll share a practical framework for structuring, planning, and evaluating agentic systems, while tackling the toughest problems like compound errors, business context, and performance trade-offs. At the same time, we’ll dive into the unique security pitfalls of agent development — from hidden architectural flaws to manipulation strategies — and show you how to embed security from the very start.

You’ll walk away knowing how to move beyond theory and build AI agents that are not just powerful, but also dependable and resilient by design.

3 Key Takeaways

A practical framework for building effective AI agents — Learn how to structure, plan, and evaluate agents to avoid common pitfalls like compound errors and performance trade-offs.

Security by design — Discover the unique risks in agent development and how to embed security into every stage of the lifecycle, from architecture to deployment.

From theory to practice — Walk away with concrete strategies to design AI agents that are not only powerful but also reliable and resilient in real-world environments.