PRODUCT

One platform. Three views into your S3.

Table health, IAM flow, and threat detection - all from S3 access logs and metadata. Agentless, 5-minute setup.

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DATA

Data Lake Observability

Iceberg, Delta, and Hudi table health scored from metadata. Broken pipelines detected. Query and storage cost attributed to the table that caused it.

  • Table health scoring: snapshots, manifests, small files
  • Silent-writer alerts before downstream notices
  • Per-table cost attribution across Athena, Trino, Spark
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S3

S3 Access Monitoring

Live IAM Sankey of every S3 request, object-level, not sampled. Per-role baselines, IaC drift detection, and 25+ AWS service auto-detection.

  • Live Sankey: every IAM role to every bucket and prefix
  • Per-role anomaly alerts: new prefix, 10x volume, off-hours
  • IaC drift when live access diverges from Terraform or CDK
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S3

S3 Threat Detection

Behavior-based threat detection from S3 access logs. Catches EOL SDKs, exfiltration patterns, credential attacks, and PII exposure that DSPM misses.

  • EOL SDK detection mapped to CVE database
  • Exfiltration patterns, 403 storms, browser user-agent alerts
  • PII in object key paths, without reading object contents
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ONE DATA SOURCE. THREE PRODUCTS.

Everything runs on S3 access logs and S3 Inventory

No agents
Nothing on your clusters, Glue jobs, or Spark executors
No catalog access
reCost never touches your Glue Catalog, Hive Metastore, or Unity Catalog
5-minute setup
Read-only IAM role attached to your S3 access log bucket
Works with existing stack
No code changes. No pipeline modifications. No SDK instrumentation.

See your S3 the way engineers need to

Book a 30-minute live demo. We'll analyze your actual S3 data.

Book a Demo