Cost anomaly detection
Looks for unexpected changes in cloud spending and helps identify contributing services, accounts, projects, Regions, SKUs, or usage types.
Two different cloud problems
Cloud security anomaly detection vs cost anomaly detection
Cost tools answer “Why did our bill change?” Security tools answer “Who did what in our cloud, and should we investigate?” Similar language, different evidence and outcomes.
The practical difference
Choose based on the question you need answered
Neither category replaces the other. Small teams can begin with native cost monitoring and use security-focused audit analysis for identity and administrative activity.
Security anomaly detection
Looks for unusual identities, administrative API calls, access changes, failures, resources, or behavior that deserves investigation.
Use both
A compromised credential can produce suspicious administration, unexpected spend, or both. One category does not provide complete coverage for the other.
Start with native billing tools
AWS and Google Cloud already provide cost-anomaly products
AWS Cost Anomaly Detection
AWS describes its product as machine-learning detection of anomalous spend patterns, with root-cause dimensions such as service, account, Region, and usage type.
AWS cost-anomaly documentation →Google Cloud cost anomalies
Google Cloud describes cost anomalies as unexpected usage-cost spikes or deviations compared with historical spending patterns, with thresholds, notifications, and root-cause analysis.
Google Cloud cost-anomaly documentation →Security evidence
Use audit activity when the question is about access or administration
Flare focuses on supported AWS CloudTrail and GCP Cloud Audit Log activity. It ranks noteworthy evidence for human investigation. It does not analyze billing data or replace the providers’ cost tools.
For lean teams
Investigate cloud activity without a SIEM project.
See how Flare approaches AWS and GCP security monitoring for small businesses.
Explore the workflow