On-chain compliance and audit-readiness platform for a protocol
Automated evidence collection and continuous monitoring got a protocol audit-ready in weeks rather than months, with a complete controls trail behind every review.
Audit-ready in weeks
Problem, approach, and the outcome
The client is a Swiss protocol team preparing for external security audits while facing growing questions from partners and regulators about how their contracts were controlled. In DeFi, the evidence behind a review matters as much as the review itself.
Their controls and audit evidence lived in scattered documents and engineers' heads, so every audit began as a scramble to reassemble a story that was never written down.
Each audit cycle started from scratch, with the team hand-collecting test results, static-analysis output and change history the week before the auditors arrived. The evidence existed but was never in one inspectable place.
Because nothing was captured continuously, gaps only surfaced late, forcing rushed fixes under audit pressure. Discovering a control gap during the audit is the most expensive time to find it.
The team needed evidence collection and monitoring to run continuously, not as a last-minute exercise. Being audit-ready at all times was the real objective.
We built an audit-readiness platform that automates evidence collection straight from the pipeline, capturing test coverage, static-analysis findings and change history as work happens. Capturing evidence at the source is what keeps it current rather than reconstructed.
Continuous monitoring against OpenZeppelin patterns and Slither analysis flags control drift and new findings the moment they appear, so issues are fixed while they are still cheap. Catching drift early keeps the protocol permanently close to audit-ready.
Risk-assessment workflows and multi-framework coverage map each control to the frameworks that matter, so the evidence trail is complete and inspectable on demand. The scramble before each review disappeared.
- Audit-ready in weeks, not months
- Evidence collected automatically from the pipeline
- Continuous monitoring flags control drift early
- Multi-framework coverage with a complete evidence trail
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