Full contract context
Large Solidity systems come with huge context. When inheritance, proxies, libraries, and privilege models are involved, full-code reading is the only reliable way to reduce false positives.
Built for Web3 security teams, protocols, exchanges, and compliance groups, brizge combines AI contract scanning, automated vulnerability discovery, POC generation, fork replay, attack tracing, and KYT risk operations into one practical platform.
Each workflow is more than a slogan. It is a sellable and reusable delivery pipeline backed by data and models.
The platform slices full Solidity codebases into model-ready semantic chunks while preserving inheritance, call flows, privilege boundaries, and state context. That closes the gap left by shallow single-file scans.
Model output is pushed one step further into validation. The platform automatically generates POC cases, execution prerequisites, attack steps, and payoff estimates instead of stopping at abstract descriptions.
Locate vulnerability candidates
Generate POC attack cases
Replay on a fork and feed logs back
Starting from the exploit entry transaction, brizge links attacker wallets, mixer hops, bridge routes, and cash-out destinations into a structured timeline and fund-flow graph for joint response.
The platform analyzes large address sets and transaction streams, assigns risk tags, explains the reasoning, and drafts AML-ready narrative sections for exchanges and compliance teams.
Pull transactions and counterpart relationships in bulk
Assign risk labels and entity attribution
Generate AML narrative reports
The real question is not whether tokens are consumed, but whether that spend turns into durable billable value.
Large Solidity systems come with huge context. When inheritance, proxies, libraries, and privilege models are involved, full-code reading is the only reliable way to reduce false positives.
After a finding is located, the workflow keeps going with POC generation, fork replay, log reading, and model-based review. Every step adds high-value reasoning tokens.
For KYT, bulk transaction parsing, address clustering, risk labeling, and AML narratives are all high-throughput, high-context workloads by nature.
audit.html: simulated audit tasks, findings panels, and POC verification flow.trace.html: risk filtering, entity detail panels, and incident replay cards.pricing.html: monthly or annual switch, token estimator, and FAQ expansion.This version is already a complete showcase site. The next step is wiring real APIs, form submission, and actual audit result data.