Source: aws.amazon.com/blogs/machine-learning/professional-work-deserves-professional-tools-meet-aws-quick
AWS is promoting Quick, an AI workspace where teams use agents to research, analyze and act across the data and applications they already use. The campaign runs on streaming TV, online video, social media and business publications in the United States and the United Kingdom. AWS names 3M, BMW, Mondelez, New York Life and Southwest Airlines among enterprises already using Quick.
According to AWS, Quick was designed for work from the start and has no consumer version, and it runs on the same AWS infrastructure as its mission-critical workloads. It integrates with Microsoft Purview, AWS Identity and Access Management and Microsoft Active Directory, reads existing sensitivity labels on files and enforces current permissions. Agents, knowledge bases and skills reach new teams only through approved sharing, and each approval and denial is recorded.
The post lists HIPAA, FedRAMP, SOC 2 and ISO 27001 among the compliance certifications Quick carries. AWS says customer data stays in the customer's environment and is not used to train other companies' models, and that Amazon CloudWatch and AWS CloudTrail provide a built-in audit trail. Enterprise pricing plans are arranged through an AWS account team, and the app can be downloaded directly.
Why it matters if you build agents
Developers building agents for enterprise teams can point to built-in audit logging, approval-based sharing and enforced existing permissions instead of building those controls from scratch. Teams already running Microsoft Purview or Active Directory may find the listed integrations relevant when deciding where agents can read data. Enterprise pricing is handled through sales, so budgeting for Quick requires a conversation with an AWS account team because no published price is given.
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