AWS Cost Anomaly Detection adds AI-powered root cause investigation
AWS Cost Anomaly Detection now integrates Amazon Q to automatically analyze the root cause of cost anomalies, delivering plain-language explanations in minutes instead of hours. This feature aids FinOps and engineering teams by identifying usage or rate drivers, contributing services, accounts, regions, and specific API calls. Available immediately in all commercial AWS Regions at no extra charge, it streamlines the transition from alert to action for cost optimization efforts.
- →AI-powered root cause analysis for cost anomalies
- →Cross-account investigation with organization trails
- →Availability and cost implications
Features (2) ›
- AI-powered root cause analysis for cost anomalies
AWS Cost Anomaly Detection now leverages Amazon Q to automatically investigate the root cause of detected cost anomalies, providing plain-language explanations. This feature helps identify whether changes are usage-driven or rate-driven and attributes them to specific services, accounts, regions, API calls, and IAM principals.
- Cross-account investigation with organization trails
For organizations utilizing a CloudTrail organization trail, the AI-powered cost investigation works automatically across all member accounts. Users can also engage in conversational follow-up questions to explore patterns or specific resources.
Notes (1) ›
- Availability and cost implications
AI-powered cost investigation is available starting today in all commercial AWS Regions at no additional charge. Cross-account investigations using organization-wide CloudTrail trails delivered to CloudWatch Logs may incur standard CloudWatch Logs Insights charges based on data scanned.
https://aws.amazon.com/about-aws/whats-new/2026/06/aws-ai-powered-cost-investigations/