Any data, any size, anywhere
Want to learn more about how to benefit from working with a federated data infrastructure?
The Apheris Compute Gateway is deployed into your environment where you register data. This includes robust asset policies that allow you to determine the right level of privacy and security for your data, who can access that data and for what purpose. Combine this with logging of interactions and you can be sure you remain compliant and avoid the risk of a data breach or IP leak.
With no need to share or centralize data, and with robust asset policies, you remain in control of your data including who has access and for what purpose. Logging of every interaction allows for traceability and audit to meet regulatory requirements.
Because data doesn't need to move, and with the right privacy-enhancing technologies in place, you can provide access to even the most sensitive data.
Allow complementary data value to be unlocked by allowing previously inaccessible data to be included in machine learning models and analytics.
Apheris makes it easy to leverage federated data for machine learning and analytics. Data doesn't need to move protecting IP, ensuring data privacy, and eliminating the costs of centralizing data.
Each data custodian deploys the Compute Gateway within their existing infrastructure (either cloud or on-prem) and connects it to the data. Apheris provides abstractions for the data sources and each party controls which computations are allowed to run on their data.
The Compute Gateway empowers external parties to run computations on the connected data. Included is an environment from Apheris (based on Python/Kubernetes) containing statistics and machine learning modules designed for federated computations. Alternatively, connect to external environments, such as Spark or Slurm.
Data custodians are in full control over what happens with their data. They define asset policies with privacy controls that specify which user is permitted to run which computation on their data.
For any computation request from a user, asset policies are validated at multiple points throughout the platform. Additionally, data custodians can approve incoming compute requests and control what results leave their Compute Gateway. This ensures that results are returned to the data scientist without exposing data or IP.
Work with customers across organizational and geographical boundaries while remaining compliant with all privacy regulation and protecting IP.
Federated infrastructure means that there's no need to share or centralize data. By not moving data, the data custodian remains in control of data at all times.
Apheris can be deployed into different environments and interfaces with existing systems and data sources.
Asset policies, including fine-grained access controls, determine who has access and for what purpose.
Multiple privacy-enhancing technologies allow users to set the appropriate level of privacy for the type of data so that maximum value is extracted from any dataset.
Each action on the Apheris Platform is logged for full auditability and enforcement of the asset policies.
Data doesn't need to move so data cusodians always stay in full control of their data and data sovereignty is retained. Logging of operations ensures traceability for audit and compliance needs.
Reduce risk and remove overhead costs associated with centralizing or copying data.
Enhance partnerships by providing greater data access and participating in data ecosystems.
Offer value-added services and monetize data in ways not previously possible.
"When I think about Apheris, I think about acceleration. We were able to accelerate the onboarding of new partners by months, which also leads to much faster development and evolution of our own data products."
Want to learn more about how to benefit from working with a federated data infrastructure?
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