Case Study: Cisco accelerates secure AI innovation with MongoDB Atlas and Atlas Vector Search

Cisco saves $10 million with MongoDB Atlas Vector Search

Cisco, a global provider of networking and cybersecurity solutions, sought to securely roll out hundreds of generative AI applications without compromising its strict security standards. To meet this challenge, they partnered with vendor MongoDB to streamline the path from experimentation to production using MongoDB Atlas and MongoDB Atlas Vector Search.

The solution involved creating secure sandbox clusters with MongoDB to allow for safe experimentation and powering retrieval-augmented generation capabilities. This accelerated the development process and maintained low latency for applications like the WebEx virtual assistant, which has resolved over 100 support cases and saved the company roughly $10 million. With MongoDB, Cisco can trust its AI applications are secure and scalable.

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