How do you ensure my data remains safe when using Easy AI?
The architecture of Easy AI is designed to fragment and minimize data sent to the LLM following the need-to-know principle. The processed data is not saved in the LLM beyond the immediate (temporary) task at hand.
Contextual data (knowledge base, guidelines, procedures, documentation, etc.) you choose to add to Easy AI to increase answer precision is stored in the Easy infrastructure. Only the relevant fragments of this data (if any) are processed by the LLM for each task.
More information about Easy AI data managing standards can be found in the compresensive document Security Summary.
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How does Easy AI work?
Easy8 utilizes an LLM (large language model) to process the AI operations. The LLM may be a version of GPT - running on Azure Cloud (Microsoft Foundry) or OpenAI infrastructure; or, for a purely on-premises solution, Mistral.
As the technology evolves, so will Easy AI, combining the most precise models with strict information security standards.
Can Easy AI be configured for individual projects?
Yes, Easy AI can be configured for different user roles and potentially customized for project-specific use cases.
