World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

Plan to link your LLM to your production database? What could possibly go wrong?

What stops a prompt injection from tricking your LLM into dropping production tables? Learn to safely proxy database interactions using a secure Model Context Protocol server.

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#1 about 5 min

Standardizing modern database interactions through user interfaces

Traditional search filters create frustrating user experiences when querying complex databases.

#2 about 2 min

Revolutionizing database search queries with language models

Integrating relational data with artificial intelligence enables intuitive and precise natural language searches.

#3 about 4 min

Enabling direct language model interaction with database structures

Defining JSON schemas as tools allows models to autonomously formulate and execute database read queries.

#4 about 8 min

Exposing critical vulnerabilities in direct language model database access

Allowing unregulated artificial intelligence querying creates massive security risks including prompt injection and unchecked table deletion.

#5 about 5 min

Implementing model context protocol for secure database communication

Whitelisting specific queries inside a model context protocol server eliminates arbitrary execution and safely enables write access.

#6 about 3 min

Executing verified database write operations with dynamic queries

Coordinating specific parameter extraction through verified tools securely handles complex database inserts.

#7 about 5 min

Optimizing server architecture for scalable large language model operations

Implementing query caching, targeted tool clusters, and pagination reduces token consumption while ensuring reliable data responses.

Matching moments

5:24 min

Contextualizing LLMs with the model context protocol

Alfonso Sandoval Rosas

Alfonso Sandoval Rosas · Europe 2026 Virtual

2:18 min

Exploiting exposed language models in commercial applications

Liran Tal

Liran Tal · LIVE

1:59 min

Understanding LLMs as vulnerable software services

Alex Soto

Alex Soto · World Congress 2025

2:25 min

Enhancing AI tool discoverability with Model Context Protocol

Daniel Oh

Daniel Oh · World Congress 2026 Europe

3:26 min

Introducing LLMs as judges for automated testing

Sebastian Messingfeld

Sebastian Messingfeld · World Congress 2026 Europe

5:19 min

Understanding the technical structure of an MCP server

Angie Jones

Angie Jones · World Congress 2025

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Upcoming sessions on this topic

World Congress 2026 North America

September 24, 2026 · 13:30–14:00

Stage 9

Understanding LLM Architectures: Inside the Design of Modern Models

Jofia Jose Prakash

Director - AI & Governance at Humanity + AI, Inc

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World Congress 2026 North America

September 25, 2026 · 09:00–09:30

Stage 6

Red Teaming Your LLM App -- A Hands-On Threat Model You Can Reuse

Saloni Garg

Senior ML Engineer at Adobe

Saloni Garg

World Congress 2026 North America

September 24, 2026 · 17:30–18:00

Stage 6

No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs

Emmanuel Acheampong

Senior Manager Developer Relations at Crusoe AI

Emmanuel Acheampong

World Congress 2026 North America

September 24, 2026 · 16:50–17:20

Stage 5

Context Engineering Kung Fu

Carl Lapierre

Tech Lead and AI Engineer at Osedea

Carl Lapierre

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Stage 9

Fast, Cheap, and Accurate: Optimizing LLM Inference with vLLM and Quantization

Legare Kerrison, Cedric Clyburn

Legare Kerrison

Cedric Clyburn

World Congress 2026 North America

September 25, 2026 · 10:20–10:50

Stage 3

Making (and Breaking) Agents by Adding 1,000 MCP Tools

Guillaume Lebedel

CTO & Co-Founder of StackOne

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