Architecting Reliable Agentic AI: Communication, Monitoring & Evaluation

As LLM-powered agentic architectures evolve beyond simple Q&A into complex, autonomous systems capable of reasoning, planning, and tool interaction, the need for robust communication protocols, rigorous testing frameworks, and thorough evaluation methodologies becomes critical. This section examines prominent agent orchestration architectures, the need for reliable communication protocols, and key techniques for monitoring and evaluating collaborative agents.

💡 What We’ll Cover:

• 🏗️ Common Agentic Architectures & Communication Protocols: Centralized vs. decentralized systems, synchronous vs. asynchronous messaging, what works best and why?

• 🔐 Security Risks & Threat Models: From prompt injection to data leakage, what happens when autonomous agents go off-script?

• 🛡️ Guardrails & Monitoring: Explore tools and best practices for guiding, constraining, and auditing agent behavior in real time.

• 📏 Evaluation Techniques: How to measure reliability, alignment, and emergent behavior in multi-agent environments?

🧠 Who Should Attend?

• C-level executives and VPs exploring advanced AI strategies
• Product Leaders and Innovation Executives shaping AI capabilities
• Data and Analytics Leaders responsible for delivering trustworthy insights
• Teams already using RAG who want to push performance to the next level
• Anyone responsible for critical decision-making powered by AI

The conversation will be high-level and jargon-free, with plenty of time for Q&A.