AI Security Video Library

Comprehensive tutorial covering AI security concepts, vulnerabilities, and practical defense strategies. Essential viewing for security professionals working with AI systems.

Deep dive into advanced security techniques for Large Language Models. Covers threat modeling, vulnerability assessment, and defense strategies for production LLM deployments.

Practical guide to implementing security best practices for Large Language Models in production environments. Covers common vulnerabilities, mitigation strategies, and real-world security scenarios.

Confidently adopt AI and manage your AI apps, agents, and platforms. From assistive copilots to autonomous digital workers, gain visibility and control to prevent data oversharing, manage sprawl, defend against threats, and ensure compliance. Learn about building agentic memory systems with Azure Cosmos DB, including short-term and long-term memory patterns, retrieval strategies, and production deployment considerations.

The CopilotKit team presents their breakthrough AG UI protocol that's solving the critical infrastructure gap between AI agents and user-facing applications. Learn how AG UI transforms the traditional M×N integration problem into M+N by providing a lightweight, event-based protocol that connects any agent framework to any client interface. The protocol enables seamless interoperability between major frameworks like LangGraph, CrewAI, Mastra, and custom solutions while supporting everything from web applications to mobile, voice, and Slack integrations. Includes demonstrations of frontend tool calls, human-in-the-loop collaboration, generative UI with real-time state updates, and complex applications like AI research assistants.

Comprehensive overview of recent MCP revisions and their impact on developers working with LLMs, agents, and AI systems. Learn about the latest protocol changes and best practices from Anthropic's MCP project lead.

Essential guide to implementing OAuth authentication for MCP servers. Covers authorization flows, tokens, scopes, and integration with identity providers. Learn implementation strategies and security best practices for securing MCP servers.

Critical security analysis of MCP implementations. Breaks down Tool Poisoning Attacks, data extraction vulnerabilities, and malicious tool injection techniques. Essential viewing for anyone deploying MCP in production environments.

Comprehensive security tutorial covering MCP deployment vulnerabilities, risks, and strategic defense measures. Explores token theft, server compromise, prompt injection attacks, and excessive permissions. Includes practical mitigation strategies.

Hands-on tutorial for building MCP servers using C# and Visual Studio. Perfect for .NET developers looking to integrate MCP into their AI agent workflows. Covers setup, implementation, and security considerations.

In-depth analysis of MCP protocol security testing methodologies and vulnerability assessment techniques. Learn how to identify and mitigate security risks in Model Context Protocol implementations and AI agent integrations.

Comprehensive guide to AI security concepts and practical implementations

Practical demonstration of penetration testing techniques for AI systems. Learn hands-on methods for identifying and exploiting vulnerabilities in AI applications and infrastructure.