From Models to Systems: Building Production-Ready AI Agents

Join us for an evening exploring what it really takes to move AI agents from impressive demos to reliable, production-ready systems. We’ll hear from industry leaders building and deploying AI agents in real-world, high-stakes environments.

Date & Time
Monday, March 9, 2026
6:00–8:00 PM

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## Agenda:

⏱ 18:00–18:30: Gathering, mingling & light refreshments
⏱ 18:30–19:15: Lecture 1 – Charm Security

• Making LLMs work for your problem, not theirs | Speaker: Aviv Nahon, AI & ML Data Scientist
• From Demo to Real World System: What Makes a ReAct Agent Production-Ready | Speaker: Hovav Schreiber, AI Engineer

⏱ 19:15–20:00: Lecture 2 – Mate Security

• Autonomous but Accountable: Running AI Agents in a High-Stakes Environment
  Speakers: Guy Pergal (Co-Founder & CTO), Avi Rosenberg (Founding Engineer), Yuval Maayan (Founding Engineer)

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📌 From Demo to System — What Makes a ReAct Agent Production-Ready
Who's in charge (LLM vs code), what happens when things break, and how easy it is to extend — adding tools, MCP servers, schemas, and models.

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📌 Making LLMs work for your problem, not theirs
Making LLMs work for your problem, not theirs.

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📌 Autonomous but Accountable: Running AI Agents in a High-Stakes Environment
Mate Security is at the forefront of AI agent development, building agents that run incident investigations today, in Fortune 500 SOCs.
As build and release playbooks are rewritten daily, the session will cover some of the key areas of focus, allowing Mate's agents to be trusted in production by the world's largest organizations, including:

• Working with thousands of sensitive agent tools: How do we govern and select the right one while considering the context window?
• Always improving: how do we govern and eval AI agents when prompts and models keep evolving?

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We look forward to seeing you all in person😎🎉