AWS wellarchitected high security documentation change
Summary
Updated publication date, added operational challenges section covering fraud types, privacy compliance, and data processing requirements. Modified lens availability section with GitHub download link.
Security assessment
Added detailed documentation about three categories of digital advertising fraud (placement, traffic, action fraud) with visual diagrams. Includes explicit references to GDPR/CCPA compliance requirements and privacy protection measures. These changes directly address security vulnerabilities in advertising systems.
Diff
diff --git a/wellarchitected/latest/video-streaming-advertising-lens/video-streaming-advertising-lens.md b/wellarchitected/latest/video-streaming-advertising-lens/video-streaming-advertising-lens.md index 98268c012..fcff49c71 100644 --- a//wellarchitected/latest/video-streaming-advertising-lens/video-streaming-advertising-lens.md +++ b//wellarchitected/latest/video-streaming-advertising-lens/video-streaming-advertising-lens.md @@ -5 +5 @@ -IntroductionCustom lens availability +IntroductionLens availability @@ -9 +9 @@ IntroductionCustom lens availability -Publication date: **April 3, 2025** ([Document revisions](./document-revisions.html)) +Publication date: **December 9, 2025** ([Document revisions](./document-revisions.html)) @@ -38,0 +39,48 @@ Operational challenges with the advertising workloads are: + * Handling massive data volumes (100+ petabytes) and high throughput (up to 1+ trillion events per week). + + * Verify data privacy compliance with regulations like GDPR and CCPA while processing large amounts of user data. + + * Providing low-latency reporting and ad-hoc querying capabilities for campaign performance analysis and business intelligence. + + * Scaling data processing pipelines cost-effectively as data volumes and business complexity grow rapidly. + + * Enabling advanced use cases like machine learning for advertising performance measurement and attribution modeling. + + * Maintaining operational efficiency with managed services as engineering team sizes may not keep up with data growth. + + * Achieving high availability and resilience in data pipelines to support critical advertising workloads. + + * Address alternate solution option for addressable targeting to deliver personalized ads, due to significant signal loss of traditional data points like third-party cookies, mobile IDs (IDFA for iOS and the Android Advertising ID (AAID)), hashed emails, and IP addresses, driven by privacy regulations. + + * In addition to these individual challenges, organizations face multiple interconnected challenges: + + * Protecting user privacy while complying with evolving regulations like GDPR and CCPA + + * Combating sophisticated ad fraud and verifying brand safety through robust content moderation + + * Adapting to the phaseout of third-party cookies by developing alternative measurement approaches using first-party data and modeling + + * Managing data quality and secure collaboration across multiple solutions and partners + + * Effectively using AI/ML technologies for fraud detection, content moderation, and cross-system measurement while maintaining transparency and human oversight + + * Three main categories of digital advertising fraud: placement fraud, traffic fraud, and action fraud. These fraudulent activities employ both automated and manual methods, targeting different aspects of the advertising solution. + + * _Placement fraud_ involves manipulating ad placements through techniques like malvertising, ad stacking, fake websites, domain spoofing, and ad injection. + + + +_Placement fraud_ + + * _Traffic fraud_ focuses on artificially inflating visitor numbers and clicks using bots or human labor. + + + +_Traffic fraud_ + + * _Action fraud_ includes falsifying conversions, manipulating re-targeting data, and various forms of affiliate fraud. + + + +_Action fraud_ + @@ -46 +94 @@ This document is intended for those in technology roles, such as chief technolog -## Custom lens availability +## Lens availability @@ -48 +96 @@ This document is intended for those in technology roles, such as chief technolog -Custom lenses extend the best practice guidance provided by AWS Well-Architected Tool. AWS WA Tool allows you to create your own [custom lenses](https://docs.aws.amazon.com/wellarchitected/latest/userguide/lenses-custom.html) or to use lenses created by others that have been shared with you. +Custom lenses extend the best practice guidance provided by AWS Well-Architected Tool. AWS WA Tool allows you to create your own [custom lenses](https://docs.aws.amazon.com/wellarchitected/latest/userguide/lenses-custom.html), or to use lenses created by others that have been shared with you. @@ -50 +98 @@ Custom lenses extend the best practice guidance provided by AWS Well-Architected -To determine if a custom lens is available for the lens described in this whitepaper, reach out to your Account Team or Support. +To begin reviewing your advertising workload, download and import the [Video Streaming Advertising Lens](https://github.com/aws-samples/sample-well-architected-custom-lens/blob/main/video-streaming-advertising-lens/video-streaming-advertising-lens.json) into AWS Well-Architected Tool from the public [AWS Well-Architected custom lens GitHub repository](https://github.com/aws-samples/sample-well-architected-custom-lens).