How to Log, Score, and Block Bots Using AWS CloudFront and CloudWatch

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A developer tutorial series on bot mitigation concludes with a detailed guide on building a detection system using Amazon CloudFront Functions and AWS WAF. The article explains what structured data to log in each access record, combining WAF-forwarded signals with application-level context such as TLS fingerprints, authentication results, and attempted account hashes. Rather than blocking on a single indicator, the approach aggregates multiple weighted signals into a risk score to reduce false positives. Amazon CloudWatch Logs Insights is used to query the logged data and identify suspicious behavioral patterns. Confirmed malicious fingerprints are then registered in Amazon CloudFront KeyValueStore to enforce edge-level blocking.

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