
Recorded Webinar
Securing AI / LLM frameworks with MongoDB and HCP Vault
As more teams build internal AI agents powered by large language models (LLMs), they’re running into a critical challenge: securing the sensitive data behind those apps.
These agents often rely on Retrieval-Augmented Generation (RAG) frameworks and connect to production databases like MongoDB Atlas, creating new risks around access control, credential management, and data leakage.
This webinar covers:
- 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
Watch the recorded webinar
Presenters
Polina Jastrzebska
Sr. Solutions Engineer, HashiCorp
Sam Pandey
Sr. Product Marketing Manager, HashiCorp
Alex Bauer
Senior Product Marketing Manager, MongoDB