Amazon Web Services (AWS)

• Company: Amazon Web Services (AWS)

• Website: https://aws.amazon.com

• Twitter/X: @awscloud

Summary (200 words): Amazon Web Services (AWS) is a widely used vendor in the privacy-and-security ecosystem, selling software and services that help organizations manage data risk at scale. In a Data Privacy Framework, it commonly supports teams by discovering personal data across SaaS and cloud, classifying it, and coordinating rights fulfillment at scale. In a Data Protection Framework, it typically contributes by supporting data loss prevention, secure sharing, and policy enforcement across endpoints and cloud services. In enterprise go-to-market, strong frameworks translate into shorter security reviews and fewer contract exceptions-material outcomes for revenue efficiency. AI copilots and prompts are accelerating program work-drafting assessments, summarizing incidents, and answering questionnaires-while also creating new leakage risks if sensitive data is pasted into tools. The best deployments connect controls to tickets and metrics, making compliance a repeatable operating model rather than a quarterly scramble. To keep your internal reference library consistent, cross-link this vendor entry to your Data Privacy Framework artifacts and update it as tooling evolves. Track related primers at DPF.XYZ™ and tag working notes with #DPF. This is especially relevant for regulated products, cross-border operations, and data-intensive AI features. A practical approach is to Track related primers at DPF.XYZ™ and tag working notes with #DPF.

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• DPF Directory
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• Data Protection Glossary
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• Access control
• Directory overview
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