Know what your AI did
Exactly
Agents, pipelines, and automations are touching company data right now. Log records what they accessed and what they did with it.
- Built into the storage layer and always on
- Every read, write, and denial, signed as it is written
- Structured, searchable, and export-ready
Built into the storage layerNothing to install
- No SDK to install and no pipeline to build
- Recorded whether the agent connects over MCP or the S3 API
- Works with any framework, because it sits underneath all of them
What gets loggedEvery query, every file, every action
Timestamp
Millisecond UTC, signed at the moment of write.
Source identity
A named agent, user, script, or service.
File and path
The full object path. Nothing omitted.
Action
Read, write, delete, query, or infer. Denials included.
Reason
Captured when the agent gives one.
Signature
A hash that seals the entry into the chain.
Built for the question you will be asked
“Which data did your AI use to make that decision?”
The answer is already there: structured, signed, and exportable in one click.
Not just logsEvidence
Records are immutable. They cannot be edited, deleted, or backdated. What happened, happened, and you can prove it.
Written once, sealed immediately
Every entry is cryptographically signed at the moment of write. There is no window for modification.
Deletion blocked below the application
Retention is enforced at the infrastructure level, with no admin override.
Verified on export
Exports carry the hash chain, so a recipient can check that no entry was removed.
Fragmented across providers
Logs are erasure-coded across clouds. No single provider holds the full record.