Where do DefraDB's access control policies live? Locally in the database, or on SourceHub — a replicated log that governs data across any number of nodes.
Find out more: docs.source.network
#Source #DefraDB #EdgeAI
Agents need data that proves its origin. DefraDB signs every write and links it into a content-addressed Merkle DAG. A record becomes a verifiable claim: who wrote it, when, proof it's unchanged. Check provenance before you act. docs.source.network
Logging tells you what happened, later, if the log wasn't tampered with. It can't tell an agent right now if an input is trustworthy. Put provenance on the data: who wrote it, is it signed, has it changed. Verify at read time, not after the breach.
Tool poisoning is just TOCTOU in a hoodie. Time of check: you approve the tools. Time of use: the server swaps a description and the agent follows it. "Trust but verify" dropped the verify. Would your agent even notice the data changed underneath it?
Spotty networks? DefraDB's hole-punching P2P and replayable verifiable log keep your app working offline and merging conflict-free.
Find out more: docs.source.network
#Source #DefraDB #EdgeAI
Your agent doesn't ask where data came from. Internal record, third-party API, another agent, a tool description that changed after approval — all flattened into one prompt, all equally trusted. It can't tell a signed fact from an attack. Can yours?
Attach policies directly to documents and users only see what they should. Document-level governance, built into DefraDB.
Find out more: docs.source.network
#Source #DefraDB #EdgeAI
Consent lives in the app; the data lives where the app can't police it. DefraDB puts the policy on the data — each record enforces its own access on every read. Grant it, scope it, revoke it. Not your pipeline's job. docs.source.network





