AI-enabled, chain-validated, one-click visualisation of fund flows

Video

Tracing where funds went is one of the most common and most tedious jobs in onchain security, and it's usually locked up in bespoke scripts and private tooling. This feature changes that: seed a transaction, address, or entity to your favourite LLM, and one click renders a clear graph of how value moves, right on a block explorer that the community is familiar with.

Two things make it matter to security researchers.

- Validation: every address and transaction added by the AI layer is easily validated against live onchain data.

- Openness: the analysis skill behind these cases is open source. Anyone can read it, run it, audit it, and build on it.

This lightning talk walks through a live trace and makes a case for community forensics that are accessible, open, and verifiable.

Speakers: Harith Kamarul

Track: Security

Watch on YouTube ↗

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