AI Usage at a Glance
Timeline
Jun 10, 2019
RecommendationPractice documented: Amazon Personalize is an AWS service that offers businesses a fully managed machine learning engine to build custom recommendation systems for their own websites, apps, emails, and marketing campaigns. It has been generally available since June 2019 and is based on the same recommendation technology used internally by Amazon.com.
Practice DocumentedView practice →Sep 28, 2023
ProductivityPractice documented: Amazon Bedrock is AWS's platform that lets businesses build AI-powered applications by connecting to dozens of leading AI models — from Anthropic, Meta, Mistral, OpenAI, and Amazon's own Nova models — through a single interface. It became generally available in September 2023 and by 2025 powered generative AI for more than 100,000 organizations.
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 — returning confidence-scored labels that allow platforms to flag unsafe material at scale before human moderators review it.
Practice DocumentedView practice →Apr 30, 2024
ProductivityPractice documented: Amazon 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. AWS deployed this as a generally available product in April 2024, absorbing the earlier CodeWhisperer product.
Practice DocumentedView practice →Apr 30, 2024
ProductivityPractice documented: Amazon Q Business is an AI assistant AWS offers to enterprise employees, allowing them to ask questions in plain language and get answers drawn from their company's own internal documents, databases, and software systems. It became generally available in April 2024.
Practice DocumentedView practice →May 1, 2024
ProductivityNew evidence: Build private and secure enterprise generative AI apps with Amazon Q Business and AWS IAM Identity Center
Evidence AddedView practice →Dec 1, 2024
Data AnalysisPractice documented: Amazon GuardDuty is an AWS security service that uses AI and machine learning to automatically monitor customer cloud environments for hacking attempts, credential theft, malware, and multi-step cyberattacks. An enhanced Extended Threat Detection capability using AI/ML to correlate sequences of security signals launched in general availability in December 2024 and is automatically enabled for all GuardDuty customers at no additional cost.
Practice DocumentedView practice →Dec 3, 2024
Creative GenPractice documented: AWS offers Amazon Nova, a family of AI understanding models available through Amazon Bedrock, that accept text, images, and video as input and generate text responses covering tasks such as summarization, document analysis, question answering, and conversational AI. The Nova 2 generation — including Nova 2 Lite, Nova 2 Pro, and Nova 2 Sonic (speech-to-speech) — launched in December 2025 and remains under active development.
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
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. In December 2024, AWS relaunched it as a consolidated environment for data analytics, AI model development, and big data processing, used by hundreds of thousands of customers globally.
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 deployed AWS Security Agent, an AI agent that automatically reviews application code and architecture for vulnerabilities and runs penetration tests on demand throughout the software development process. It launched in preview in December 2025 and the penetration testing capability reached general availability in six regions on March 31, 2026.
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 →Jan 1, 2026
RecommendationNew evidence: Recommender System, Recommendation Engine - Amazon Personalize
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 →Recent activity
Amazon Q Business is an AI assistant AWS offers to enterprise employees, allowing them to ask questions in plain language and get answers drawn from their company's own internal documents, databases, and software systems. It became generally available in April 2024.
Amazon Q Business takes natural language questions from employees as input and produces text answers, summaries, and generated content as output, drawing on indexed enterprise data sources connected via more than 40 built-in connectors (including Salesforce, Slack, SharePoint, and Amazon S3). Responses include citations pointing to source documents. Administrators can configure what topics the assistant will or will not address, and the system respects existing user identity permissions so employees only see answers from data they are already authorized to access. A workflow automation capability (allowing users to upload standard operating procedures and auto-generate repeatable workflows) was announced as a forthcoming feature on the official product page as of mid-2026.
Amazon Personalize is an AWS service that offers businesses a fully managed machine learning engine to build custom recommendation systems for their own websites, apps, emails, and marketing campaigns. It has been generally available since June 2019 and is based on the same recommendation technology used internally by Amazon.com.
Amazon Personalize takes user behavioral data (clicks, purchases, page views, signups), item catalogs, and optional user demographic data as input, and produces ranked recommendation lists as output — including personalized product or content recommendations, similar-item recommendations, personalized search result ranking, and next-best-action suggestions. The service automatically processes data, selects algorithms, trains and hosts models, and updates them in near real time as user behavior changes. As of 2025, it supports Transformer-based v2 recipes, a Content Generator feature using generative AI to create themed narratives around recommendation lists, and integration with Amazon Bedrock for AI-generated item descriptions and metadata enrichment.
AWS deployed AWS Security Agent, an AI agent that automatically reviews application code and architecture for vulnerabilities and runs penetration tests on demand throughout the software development process. It launched in preview in December 2025 and the penetration testing capability reached general availability in six regions on March 31, 2026.
AWS Security Agent takes application architecture documents, source code, and organizational security policy definitions as input and produces security violation reports, vulnerability findings with CVSS risk scores, attack chain documentation, and remediation suggestions as output. It covers three phases: design review (analyzing architecture documents against security requirements), code review (scanning code against organizational standards integrated into pull request workflows), and on-demand penetration testing (autonomously executing multi-step attack scenarios against running applications). At launch, the design review and code review features were available as preview in US East (N. Virginia); the penetration testing feature reached general availability in six regions (N. Virginia, Oregon, Ireland, Frankfurt, Sydney, and Tokyo) on March 31, 2026. AWS Security Incident Response, a related service, adds AI-powered investigation capabilities to accelerate security event response.
All practices by category
Amazon Q Business is an AI assistant AWS offers to enterprise employees, allowing them to ask questions in plain language and get answers drawn from their company's own internal documents, databases, and software systems. It became generally available in April 2024.
Amazon Bedrock is AWS's platform that lets businesses build AI-powered applications by connecting to dozens of leading AI models — from Anthropic, Meta, Mistral, OpenAI, and Amazon's own Nova models — through a single interface. It became generally available in September 2023 and by 2025 powered generative AI for more than 100,000 organizations.
Amazon 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. AWS deployed this as a generally available product in April 2024, absorbing the earlier CodeWhisperer product.
Amazon GuardDuty is an AWS security service that uses AI and machine learning to automatically monitor customer cloud environments for hacking attempts, credential theft, malware, and multi-step cyberattacks. An enhanced Extended Threat Detection capability using AI/ML to correlate sequences of security signals launched in general availability in December 2024 and is automatically enabled for all GuardDuty customers at no additional cost.
Amazon SageMaker is AWS's unified platform for data scientists and engineers to build, train, and deploy machine learning models at enterprise scale. In December 2024, AWS relaunched it as a consolidated environment for data analytics, AI model development, and big data processing, used by hundreds of thousands of customers globally.
Cite this record
Trace Foundation. (2026). AWS (Amazon Web Services): documented AI practices (data as of 2026-09-02) [Data set record]. AI Trace. https://www.aitrace.org/r/company/5f1905ea-5a6f-4df2-bf84-2a48ad3e9c86. Accessed October 14, 2026.
- Stable link
- https://www.aitrace.org/r/company/5f1905ea-5a6f-4df2-bf84-2a48ad3e9c86
- Data as of
- September 2, 2026
- Last verified
- Not recorded
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