Know who read your data.
Object-level detection for Amazon S3, built from the access logs you already generate. Agentless and read-only.
Lineage view: how one identity's reads and writes moved from client to asset, live.
Three tools watch your cloud. None of them watch the read.
Runtime and workload tools
See processes and network flows. A principal calling the S3 API directly never appears.
Posture and DSPM tools
Tell you a bucket holds sensitive data and who could reach it. Not who did.
Your SIEM
Could see it, but S3 access logs at real scale are priced by the gigabyte and rarely fully ingested.
Posture shows what could happen.
Access intelligence shows what did.
The platform
Access Record
Every request, every identity, every object, retained for years.
Learn more →Agent Watch
AI agents, MCP clients and crawlers, with their real guardrail state.
Learn more →Threat Detection
Ransomware, exfiltration and anti-forensics from behavior, not config.
Learn more →Audit Evidence
The access record PCI, SOC 2 and GDPR expect.
Learn more →A second AWS account held working delete rights on production fraud verdicts.
15,853 deletions succeeded. Not a misconfiguration. Found in six days of access logs.
Client fingerprint changes, the stack change that preceded 15,853 deletions.
None of it required breaking in.
Five disclosed S3 exposures. Every one was just reading, and nobody was watching the read.
Read the access log. Nothing else.
Connect
Scoped read-only IAM role over your log bucket. Under an hour.
Ingest
Requester, action, object key, timestamp. Never object contents. Processed continuously as logs arrive.
Baseline
Every identity and client learns its own normal. No sampling.
Flag
Anomalies surface as scored findings, with the log lines attached.