Cisco

Solution

Cisco seeks to balance innovation with security as it rolls out hundreds of gen AI applications. Cisco created sandbox clusters using MongoDB Atlas and adopted MongoDB Vector Search on Atlas to power retrieval-augmented generation. It sought ways to streamline the path from experimentation to production while maintaining strict security standards. Providing a unified, secure vector database to build gen AI apps MongoDB achieved Cisco’s rigorous security certifications in record time, earning approval to handle the company’s most sensitive data, including source code. Once the certifications were in place, Cisco’s Security and Trust Organization worked with MongoDB to create sandbox clusters using. The team also employed to power Cisco’s retrieval-augmented generation (RAG) capabilities. Teams can safely experiment with gen AI in these environments without risking data leaks or compromising security best practices.

Data flow

Business documents, tickets, records, and other operational content stay in MongoDB Atlas Vector Search and MongoDB Atlas, where search indexes or vector embeddings are built and then queried in real time to supply grounded results to applications, assistants, or discovery features. Upstream and downstream integrations include WebEx help content, CRM systems.