Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Duality was built from the ground up to allow data driven enterprises to securely collaborate on data at scale, with unmatched accuracy and precision. Duality enables multiple parties to securely compute sensitive data, with privacy preserved and regulatory compliance assurance. Cloud and infrastructure agnostic, Duality seamlessly integrates with existing systems so users can set up collaboration projects with ease no matter the project scale or complexity. This allows organizations to unlock the value of their data, drive revenue, and amplify data efficiency across organizations. The platform can be deployed anywhere: on premise, in any cloud and hybrid. In addition, the platform provides a robust set of functionalities for managing secure collaboration at scale such as granular data governance and data management (e.g. schema alignment, data pre-processing, fuzzy matching and more) - all while preserving the privacy of sensitive, confidential data.
Highlights
Highlighted by the publisher on AWS Marketplace.
AI/ML Ready: Supports Bring Your Own Model (BYOM) and Federated Learning for training robust AI models on distributed, sensitive datasets. As well as running secure queries on structured databases
Cross-Cloud: Deployable in AWS GovCloud or commercial regions, facilitating secure cross-domain analytics.
Regulatory Compliance: Achieve secure, auditable processing that accelerates compliance with HIPAA, GDPR, PII protection mandates, and all major global data privacy frameworks.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
4 listed- Hrs
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Refund terms
As stated by the publisher on AWS Marketplace.
All sales and subscriptions made through the AWS Marketplace are final. Due to the digital nature of the software and the immediate access to its features, we do not offer refunds, credits, or prorated billing for any unused portion of a subscription period or for accidental purchases. To request a review for a potential refund, please provide your AWS Account ID, Product ID, and Reason for Request to our support team at: support@yourcompany.com
Sources
Publisher resources
4 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

