How to Stop Your AI Apps From Leaking Data: 4 Levels of AI Security

Описание: AI agents are powerful, but they can also be a massive security risk. Are you accidentally exposing user credit cards, API keys, and other sensitive tokens to third-party models?

It's time to build secure, trustworthy AI experiences.
In this deep dive, we walk you through the "Ladder of AI Security," a framework for building progressively more secure AI applications. We'll go from basic, leaky chatbots to bulletproof, hardware-enforced agents, with hands-on code examples using the Vercel AI SDK, Langflow, and local models with Ollama.

Whether you're a beginner or a seasoned developer, you'll learn actionable techniques to protect your users and your application.

Chapters

00:00:00 - The Critical Need for AI Security
00:01:27 - Level 1: Transparent Apps (The Common Security Flaw)
00:02:55 - Level 2: Censorship (How to Encrypt Data Before the LLM Sees It)
00:11:50 - Level 3: Local-Only Models (Taking Back Control with Ollama)
00:14:31 - Level 4: Hardware-Enforced Security (The Ultimate in AI Privacy)
00:16:28 - Your Next Steps to Building Secure AI

Tools & Tech Mentioned

Vercel AI SDK
Langflow
Ollama for local LLMs
Node.js crypto module
Trusted Execution Environments (TEEs) / Secure Enclaves

What security level are you aiming for in your projects? Let us know in the comments below!

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