Cohere's AI platform, North, is designed to help enterprises and government agencies alleviate data security concerns related to AI deployment. By allowing installations on private infrastructures rather than cloud platforms, it ensures that sensitive customer data remains secure. The platform can run on minimal hardware while including robust security protocols, such as access controls and compliance with international standards like GDPR and SOC-2. Cohere's private deployment approach aims to resolve hesitancies around adopting AI tools in data-sensitive industries.
"LLMs are only as good as the data they have access to," Nick Frosst, co-founder and CEO of Cohere, said during a demo of North. "If we want LLMs to be as useful as possible, they have to access that useful data, and that means they need to be deployed in [the customer's] environment."
Cohere claims North also includes security protocols like granular access control, agent autonomy policies, continuous red-teaming, and third-party security tests. And, it meets international compliance standards like GDPR, SOC-2, and ISO 27001.
Instead of using enterprise cloud platforms like Azure or AWS, Cohere says it can install North on an organization's private infrastructure so that it never sees or interacts with a customer's data.
Cohere is taking aim at alleviating concerns with its new AI agent platform dubbed North, which promises to enable private deployment so that enterprises and governments can keep their and customers' data safe behind their own firewalls.
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