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+# NullRabbit Labs
+
+**Autonomous defence for decentralised networks.**
+
+NullRabbit Labs is the research arm of NullRabbit, a defensive security company building autonomous protection for blockchain validator infrastructure. We watch the outside of the perimeter: the network-layer attack surface that validator daemons expose to the open internet.
+
+This organisation publishes the datasets, models, and interactive artefacts that come out of our research. Everything here is versioned, pre-registered, and audited on close.
+
+## What we work on
+
+- **Network-layer anomaly detection** against validator RPC, gossip, and consensus surfaces
+- **Bundle format** — an open, chain-agnostic representation of network traffic for security ML ([nr-bundle-spec](https://github.com/NullRabbitLabs/nr-bundle-spec))
+- **Earned autonomy framework** — governance layer for autonomous defensive systems ([Zenodo DOI 10.5281/zenodo.18406828](https://doi.org/10.5281/zenodo.18406828))
+- **Iterative leak-surface peeling** — pre-registered ML methodology for adversarially robust security models
+
+## Coordinated disclosures
+
+NullRabbit's research feeds a coordinated-disclosure track. Published advisories sit on [nullrabbit.ai](https://nullrabbit.ai).
+
+- **NR-2026-001** — Agave RPC architectural findings (Solana), 2026-05-12
+- **NR-2026-002** — Sui Indexer-Alt findings, embargoed to 2026-06-20
+
+## Methodology
+
+Every model on this page is trained against a versioned, immutable corpus and a pre-registered design document. Audits run on close against sanity floors, per-feature audit trails, and falsification holdouts. Where an audit fires, training halts, the design is re-registered, and the prior version is retracted in writing.
+
+Corpus versions are increment-only. Published checkpoints reference the exact corpus version and pre-registration document used.
+
+## Links
+
+- Website — [nullrabbit.ai](https://nullrabbit.ai)
+- GitHub — [NullRabbitLabs](https://github.com/NullRabbitLabs)
+- X — [@NullRabbitLabs](https://x.com/NullRabbitLabs)
+- Earned autonomy paper — [Zenodo](https://doi.org/10.5281/zenodo.18406828)
+
+## Contact
+
+Research enquiries: simon@nullrabbit.ai