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title: Cloud Detection at Scale on a Laptop | daily.dev
description: RSigma v0.11.0 is benchmarked against 1.9 million real AWS CloudTrail events from the flaws.cloud public dataset on an Apple Silicon laptop. The tool processes...
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og:description: RSigma v0.11.0 is benchmarked against 1.9 million real AWS CloudTrail events from the flaws.cloud public dataset on an Apple Silicon laptop. The tool processes...
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# Cloud Detection at Scale on a Laptop

**[ITNEXT](https://daily.dev/sources/itnext)** · 17 min read · 0 upvotes · 0 comments

## Summary

RSigma v0.11.0 is benchmarked against 1.9 million real AWS CloudTrail events from the flaws.cloud public dataset on an Apple Silicon laptop. The tool processes the entire 3.5-year corpus in 16.76 seconds at ~115k events/second using 55 SigmaHQ rules, yielding 68,576 matches. The post covers translating an AWS incident response playbook (easttimor/aws-incident-response) from Athena SQL to portable Sigma rules, setting up a Vector-to-RSigma streaming pipeline, and benchmarking the optional bloom prefilter and cross-rule Aho-Corasick index layers — which help only at 1,000+ rules and actually slow things down at 55 rules. Key findings include detection of IMDS credential abuse matching the Capital One breach pattern, noisy STS AssumeRole detections, and root credential use. The article also discusses CloudTrail's inherent logging gaps and how ATT&CK tagging enables tactic-level coverage analysis via Grafana dashboards.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://itnext.io/cloud-detection-at-scale-on-a-laptop-e46540322856>

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---

Tags: [#security](https://daily.dev/tags/security), [#aws](https://daily.dev/tags/aws)

[View this post on daily.dev](https://daily.dev/posts/cloud-detection-at-scale-on-a-laptop-vlgt1lhyx)

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