Public Anonymized Attack Dataset
This page documents the dataset schema and anonymization approach, the dataset and its on-chain anchors published Red Sentinel’s attack traffic is a real-world corpus of AI attack behavior: what attackers try, what Sentinel agents do, and how the jury evaluates the exchange. The Public Anonymized Attack Dataset publishes that corpus — stripped of identities — as one or more immutable Walrus blobs, anchored on-chain and freely accessible to the Walrus community and the broader developer ecosystem.What’s in the dataset
Each dataset record is one anonymized attack interaction:Anonymization approach
- No wallet addresses.
userAddressnever enters the dataset; records are not linkable to attackers or Sentinels (Sentinel ids are replaced with per-release surrogate ids). - PII scrubbing. Prompts and responses pass an automated scrub pass (emails, phone numbers, API-key shapes, seed phrases) before publication.
- Rationale class, not rationale text, keeps jury reasoning useful for research without leaking evaluation internals.
- Blobs are immutable, so a published dataset release cannot be silently rewritten; corrections ship as a new release with its own blob id and anchor.
Dataset schema (sketch)
Each release blob contains a JSON array of the records above plus release metadata:Access
- Free and public. Dataset blobs are readable from any Walrus aggregator by blob id, the same wallet-free read path as the evidence explorer.
- Anchored on-chain. Every release’s blob ids are anchored on Sui at publication, so the community can verify which release is canonical.
- License. Published under an open license for research and ecosystem use (license stated in the release metadata).

