Date: January 15, 2026
Time: 8:30 AM EST | 2:30 PM CET | 7:00 PM IST
Topic: Observability-Driven Security for Agentic AI, MCP, & AI Traffic
Abstract: With more businesses rushing to leverage AI-driven capabilities, the demand for AI integration has risen sharply. However, AI systems are complex ecosystems of large language models (LLMs), autonomous agents, and Model Context Protocol (MCP) servers. From a security perspective, this poses a challenge for risk management, demanding the need for robust observability and security analysis. This webinar explores the underlying telemetry of AI that can be utilized to develop a security analysis model. It will also explore practical strategies for capturing and analyzing AI traffic across various metrics, logs, and traces, enabling insights into performance and reliability. Attendees will also learn about security components such as authentication, authorization, and best practices for securing interactions with LLMs, agents, and MCP servers, while gaining insights into building transparent, secure, and resilient AI infrastructures that meet enterprise-grade standards.
Key takeaways:
- Metrics for end-to-end visibility into AI traffic.
- Zero Trust and access management for interactions between AI components.
- Metrics for transparency and reliability of enterprise AI.
- Strategies to integrate observability into an AI security framework.
Speaker:
Michael Levan, Principal Solutions Engineer at Solo.io
Bio: Michael Levan specializes in translating complex technical concepts into practical solutions. He is an experienced engineer, consultant, trainer, and content creator in the DevOps and platform engineering space. Michael is a Microsoft MVP (Azure), a four-time published author, podcast host, international speaker, and CNCF Ambassador. He was also a part of the Kubernetes v1.28 and v1.31 release teams.
