AI Security for Builders: Protecting Your Systems and Workflows

Join us for a discussion around AI security challenges that every developer and tech professional should know about. This session is for people who build customise or integrate AI systems into their work - not just casual ChatGPT users.

Speaker: Gaurav Makhecha

Who Should Attend:

• Developers working with AI APIs and SDKs
• Engineers building custom AI solutions
• Tech teams are integrating multiple AI systems
• Anyone connecting AI tools to their existing workflows

Some of the Topics:

• MCP Security Risks: Learn about Model Context Protocol vulnerabilities and how they can expose your systems. We'll show real examples of what can go wrong and how to protect yourself.

• AI Code Editor Dangers: Discover the hidden security holes in popular AI coding assistants. From code injection to data leaks we'll cover the risks you might not know about.

• AI Connector Vulnerabilities: Explore how AI integrations can become entry points for attacks. We'll discuss common mistakes and share practical fixes.

• Building Secure AI Workflows: Get actionable steps to audit your current AI setup and implement better security practices from day one.

This isn't theory - it's a collaborative discussion for all of us to learn and contribute.

Prerequisites: Basic understanding of AI systems APIs and software development.