Deployment-aware controls
Security and privacy depend on the chosen architecture, provider and customer requirements.
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Security choices should reflect the sensitivity of your information, your infrastructure and the AI providers selected for a deployment.
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Neural Works favors clear deployment boundaries, least-necessary access and claims that can be verified for the configuration in use.
Security and privacy depend on the chosen architecture, provider and customer requirements.
Specific controls and responsibilities are confirmed during solution design rather than implied universally.
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Customer-controlled infrastructure or private cloud can support data-sovereignty requirements, depending on storage, networking and AI-provider choices.
Managed deployment uses authentication, authorization and tenant-level controls to separate organizational knowledge.
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Access is verified before protected organizational knowledge is made available.
Permissions determine what authenticated users can access; the exact model depends on deployment configuration.
Tenant-level controls separate organizational knowledge in managed deployments.
Expanded auditability is a roadmap area; requirements should be confirmed for each engagement.
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Supported depending on deployment configuration and the services selected.
Supported depending on customer infrastructure, storage and managed-service configuration.
Data location and provider handling depend on the architecture and chosen AI model provider.
Policies are defined for the selected deployment; requirements and responsibilities are agreed before launch.
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Private deployments can use infrastructure controlled by the customer.
Architecture can be designed around an agreed AI-provider or privately hosted model strategy.
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