Every S3 request, mapped end-to-end
See exactly which IAM roles hit which buckets, prefixes, and operations, down to the object level. No sampling. No blind spots. No agents.
You don't actually know who's accessing your S3
CloudTrail is sampled and lossy
High-volume access patterns get compressed. New principals appear without context. You find out what happened on your AWS bill.
IaC drifts silently
Terraform applies happen at odd hours, some get rolled back. Live access diverges from declared infra and nobody notices until an audit.
New services start writing without warning
A new role appears, dumps 8 TB to a bucket nobody owns, and you see it on the AWS bill, three weeks later.
"We watch actual behavior, not just config. That's a completely different signal."
Head of Infrastructure Security
E-commerce, $400M ARR
Object-level visibility, from every direction.
Live IAM access map
- Sankey flow: every IAM role to every bucket, prefix, and operation
- Object-level granularity, not bucket-level averages
- No sampling - every GET, PUT, LIST, DELETE counted
Per-role baseline and anomaly detection
- Each role has a learned access baseline: buckets, prefixes, hours, request volume
- Alerts when a role accesses a new prefix, scans at 10x baseline, or operates outside its window
- First-seen timestamps for every (role, bucket, prefix) combination
IaC drift and service auto-detection
- Detects when live access diverges from Terraform or CDK definitions
- 25+ AWS service auto-detection from path and user agent: Lambda, Glue, Athena, EMR, Firehose, Kinesis, Spark
- New writer and new reader detection with first-seen timestamps
4 Dead ETL Pipelines Caught by S3 Write Pattern Monitoring
How a platform team discovered four Glue ETL pipelines silently reporting success while writing zero bytes, caught via S3 write pattern anomalies, not query failures.
Know exactly who's inside your S3
5-minute setup. No agents. Object-level, not bucket-level.
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