MCP NOW

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MCP Now is a virtual, highly technical event diving deep into real-world practices for controlling models in production.

For more information and registrations: https://bit.ly/4jZOCjV

 

Vibe Coding an LLM Agent All the Way to Production

Vibe Coding an LLM Agent – All the Way to Production

  ​A no-fluff, engineer-first evening on building real LLM systems that ship. ​Whether you're exploring your first agent or running large-scale GenAI infra, this is your chance to learn how the pros do it. ​A deep-dive into how we built and deployed a full-stack LLM agent — from rapid prototyping to hardened production. You’ll get live architecture walkthroughs, lessons from the field, and a few “wish-we-knew-that-earlier” moments. Registration link: https://bit.ly/4kYjemn

Securing the Agentic AI Public Sector Frontier: Webinar

Artificial intelligence is revolutionizing the way government agencies operate, unlocking unprecedented levels of efficiency, precision, and strategic advantage. From real-time insights at the edge to enterprise-wide solutions, AI innovations like Generative AI, Large Language Models, and AI Agents are transforming mission capabilities.

However, these advancements also introduce new risks, such as data exposure, LLM vulnerabilities, and the rapid rise of autonomous AI agents. For government agencies, establishing clear guardrails around the use of Generative AI and Agentic AI is essential.

Registration link: https://bit.ly/4mLA8GG

Why MCP Enabled Agents Are the Next Cyber Battleground

Why MCP Enabled Agents Are the Next Cyber Battleground

As agentic AI systems transition from conceptual models to real-world deployments, MCP (Model Context Protocol) agents are emerging as a critical interface layer — and the next major attack vector. These autonomous, API-driven actors aren’t just executing tasks; they’re reshaping how LLMs interact with tools, data, and infrastructure across enterprise environments.

In this webinar, we’ll explore how MCP agents introduce unique security and trust challenges distinct from traditional LLM deployments and how to close these security gaps.

-A technical breakdown of the MCP architecture and its implications on security

-Emerging risks: from prompt and memory injection to cross-agent contamination

-Strategies for securing agent orchestration layers while preserving agent autonomy

Registration link