How to Implement Llama Protections to Your GenAI Applications @MetaDevelopers
How to Implement Llama Protections to Your GenAI Applications  @MetaDevelopers
Uploaded September 2025 | Updated September 2026, 1 week ago
Learn how to secure your GenAI applications with Llama Protections. In this video, Spencer, a Product Manager on the Llama Protections Team, explains the importance of AI safety and introduces a suite of open-source safeguards to protect your applications and users.

What you'll learn:

- The risks and opportunities of increasingly capable LLMs.
- Why additional guardrails in foundational LLMs are needed to address specific use cases and malicious attacks.
- How Llama Protections offers a comprehensive solution for GenAI security.
- An overview of Llama Protections components: Llama Guard for content moderation, Prompt Guard for jailbreak defense, Code Shield for preventing insecure code generation, Llama Firewall for orchestration and additional safeguards
- How to deploy Llama Protections as individual components or via Python libraries.
- Resources and recipes for customizing Llama Protections.

Start building safer AI applications today! Get started with Llama Protections on: bit.ly/42auC7O

Check out these resources to get started, including recipes to customize the protections for your own use case: bit.ly/4g6VSKe

And for Llama Firewall: bit.ly/47vvXtt
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How to Implement Llama Protections to Your GenAI Applications

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