
Securing AI / LLM frameworks with MongoDB and HCP Vault
LLMs are evolving fast, and more companies are building internal AI agents to support their end users and teams. This introduces a new challenge: securing the databases that power these agents. Keeping data safe and managing access is critical to keep everything running smoothly.
If you’re using MongoDB Atlas databases to build internal LLMs with RAG frameworks, security needs to be a top priority. Without the right protections, sensitive data and operational integrity could be at risk.
HashiCorp Vault provides advanced security features to manage access and centralize password management for MongoDB Atlas. With built-in management for passwords, credentials, and identity access controls, you get a straightforward approach to securing your database without adding unnecessary complexity.
Register for the live webinar
Polina Jastrzebska
Sr. Solutions Engineer, HashiCorp
Sam Pandey
Sr. Product Marketing Manager, HashiCorp
Details
- How users building RAG frameworks in MongoDB Atlas can secure their databases with HashiCorp Vault
- The biggest security challenges when building AI tools internally — and how to tackle them
- How to build a roadmap for implementing and optimizing key Vault features to secure your MongoDB Atlas deployment
- How to use Vault to store and manage access credentials, auto-rotation, and dynamic secrets