AI Usage at a Glance
Sep 28, 2023
ProductivityPractice documented: Amazon Bedrock is AWS's flagship platform that lets businesses build AI-powered applications without managing their own AI infrastructure. Companies connect to dozens of leading AI models (from Anthropic, Meta, Mistral, OpenAI, and Amazon's own Nova models) through a single interface and build chatbots, document processors, and automated workflows.
Practice DocumentedView practice →Apr 5, 2024
ModerationPractice documented: Amazon Rekognition is an AWS service that other businesses license to automatically scan images and videos for inappropriate content — including explicit material, violence, hate symbols, drugs, and gambling. It allows platforms with large amounts of user-generated content to flag unsafe material before a human ever sees it.
Practice DocumentedView practice →Apr 30, 2024
ProductivityPractice documented: mazon Q Developer is an AI assistant built into coding environments that writes code, reviews it for bugs and security flaws, generates tests, and updates legacy software — all from a developer's plain-language instructions. It effectively automates the most time-consuming parts of software development.
Practice DocumentedView practice →Dec 1, 2024
Data AnalysisPractice documented: Amazon GuardDuty is AWS's cloud security service that uses AI and machine learning to automatically monitor customer cloud environments for hacking attempts, credential theft, malware, and multi-step cyberattacks. It processes billions of signals at once and alerts security teams to critical threats without human review of every event.
Practice DocumentedView practice →Dec 3, 2024
ProductivityNew evidence: Amazon Q Developer Reimagines How Developers Build and Operate Software With Generative AI
Evidence AddedView practice →Dec 3, 2024
Creative GenPractice documented: AWS offers Amazon Nova, a family of foundation models available through Amazon Bedrock, that includes two creative generation models: Amazon Nova Canvas for images and Amazon Nova Reel for video. Launched in December 2024, these models take text prompts and optional reference images as input and produce studio-quality images or short video clips as output. AWS also offers Nova understanding models that accept text, images, and video as input and generate text, covering tasks such as summarization, document analysis, and conversational AI.
Practice DocumentedView practice →Dec 3, 2024
Data AnalysisPractice documented: Amazon SageMaker is AWS's unified platform for data scientists and engineers to build, train, and deploy machine learning models at enterprise scale. It allows organizations to run predictive analytics, anomaly detection, and AI-driven insights across massive datasets without managing the underlying infrastructure.
Practice DocumentedView practice →Mar 14, 2025
Data AnalysisNew evidence: AWS unifies analytics and AI development in SageMaker
Evidence AddedView practice →Mar 31, 2025
Creative GenNew evidence: Amazon makes it easier for developers and tech enthusiasts to explore Amazon Nova, its advanced Gen AI models
Evidence AddedView practice →Sep 10, 2025
Customer SvcPractice documented: Amazon Connect is AWS's cloud-based contact center product, which businesses use to deploy AI agents that handle customer calls, chats, and support tickets — automatically resolving issues, routing queries, and assisting human agents in real time. AWS sells this to other companies to run their customer service operations.
Practice DocumentedView practice →Nov 5, 2025
Customer SvcNew evidence: Inside Amazon Connect: The evolution of a disruptor
Evidence AddedView practice →Dec 8, 2025
OtherPractice documented: AWS has embedded AI agents directly into its security tooling, including a service that automatically reviews application code for vulnerabilities throughout the development process and another that accelerates incident investigation and response. These services allow security teams to scale their threat-response work without proportionally growing headcount.
Practice DocumentedView practice →Dec 12, 2025
Customer SvcNew evidence: Amazon Connect at re:Invent 2025: Creating the future of customer experience with AI
Evidence AddedView practice →Jan 1, 2026
ModerationNew evidence: Amazon Rekognition Content Moderation
Evidence AddedView practice →Feb 26, 2026
ProductivityNew evidence: AWS successfully completed its first surveillance audit for ISO 42001:2023 with no findings
Evidence AddedView practice →AWS has embedded AI agents directly into its security tooling, including a service that automatically reviews application code for vulnerabilities throughout the development process and another that accelerates incident investigation and response. These services allow security teams to scale their threat-response work without proportionally growing headcount.
AWS Security Agent is a frontier agent that proactively secures applications throughout the development lifecycle, conducting automated security reviews tailored to organizational requirements and delivering context-aware penetration testing on demand. These capabilities were unveiled at re:Invent 2025. AWS Security Incident Response now delivers agentic AI-powered investigation capabilities designed to help enhance and accelerate security event response and recovery. This reflects a broader AWS strategy of using AI to help companies operate more securely as they adopt more generative AI tools themselves.
Amazon GuardDuty is AWS's cloud security service that uses AI and machine learning to automatically monitor customer cloud environments for hacking attempts, credential theft, malware, and multi-step cyberattacks. It processes billions of signals at once and alerts security teams to critical threats without human review of every event.
Amazon SageMaker is AWS's unified platform for data scientists and engineers to build, train, and deploy machine learning models at enterprise scale. It allows organizations to run predictive analytics, anomaly detection, and AI-driven insights across massive datasets without managing the underlying infrastructure.
Amazon Bedrock is AWS's flagship platform that lets businesses build AI-powered applications without managing their own AI infrastructure. Companies connect to dozens of leading AI models (from Anthropic, Meta, Mistral, OpenAI, and Amazon's own Nova models) through a single interface and build chatbots, document processors, and automated workflows.
mazon Q Developer is an AI assistant built into coding environments that writes code, reviews it for bugs and security flaws, generates tests, and updates legacy software — all from a developer's plain-language instructions. It effectively automates the most time-consuming parts of software development.
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Amazon Rekognition is an AWS service that other businesses license to automatically scan images and videos for inappropriate content — including explicit material, violence, hate symbols, drugs, and gambling. It allows platforms with large amounts of user-generated content to flag unsafe material before a human ever sees it.
Amazon Rekognition can detect explicit adult or suggestive content, violence, drugs, tobacco, alcohol, hate symbols, gambling, and disturbing content in images and videos, returning each label with a confidence score. By using Rekognition, human moderators can review a much smaller set of content — typically 1–5% of total volume — already flagged by machine learning, enabling focus on more valuable activities at a fraction of existing cost. Customers include Dream11 (100 million users), SmugMug/Flickr, and CoStar Group. The service is a commercial API sold to third-party developers and platforms.
Amazon GuardDuty is AWS's cloud security service that uses AI and machine learning to automatically monitor customer cloud environments for hacking attempts, credential theft, malware, and multi-step cyberattacks. It processes billions of signals at once and alerts security teams to critical threats without human review of every event.
GuardDuty Extended Threat Detection uses artificial intelligence and machine learning algorithms trained at AWS scale and automatically correlates security signals from across AWS services to detect critical threats, including attack sequences such as credential compromise followed by data exfiltration. This capability launched in general availability in December 2024 and is automatically enabled at no additional cost for all GuardDuty customers. GuardDuty is capable of analyzing tens of billions of events across multiple AWS data sources, including AWS CloudTrail logs, Amazon VPC Flow Logs, and DNS logs.
