The Audit Contest Powered by Sherlock

Sherlock’s audit contests unite the Web3 security researcher community to push your code from every angle inside a controlled review process - Broad adversarial coverage paired with a clean, actionable results set that lets your team fix problems before they reach production.

The Audit Contest Powered by Sherlock

Sherlock’s audit contests unite the Web3 security researcher community to push your code from every angle inside a controlled review process - Broad adversarial coverage paired with a clean, actionable results set that lets your team fix problems before they reach production.
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How Sherlock Applies
Large-Scale Review to Your Code

Scope Set Up

Sherlock reviews the repo and confirms the exact code in scope before any work starts.

Senior Review Pass

A Lead Senior Watson completes a full review across the codebase to anchor the process with proven expertise.

Global Researcher Push

Hundreds of researchers test the code in parallel, each bringing different methods and attack paths.

Multi-Stage Judging

Findings move through Sherlock’s judging pipeline, where duplicates are cleared and severities are corrected before results reach your team.

 Fix Review and Final Output

After patches are applied, the Senior Watson returns to review the changes and confirm the final state.

A web3 Contest Model Built
for Complex Code

Sherlock’s collaborative audits remove the friction, doubt, and delay that hold teams back from launching the best version of their code possible.

Higher Quality Code at Launch

Parallel testing across many independent researchers exposes edge cases single teams miss. Combined with senior judgment, this produces clearer invariants, tighter assumptions, and fewer post-deployment surprises.

Shorter Fix Cycles and Fewer Re-Audits

Findings arrive reviewed, deduplicated, and severity-aligned, so engineers spend less time sorting noise and more time fixing real issues. This shortens remediation timelines and reduces the need for follow-up audits.

Repeatable Quality Across Every Engagement

Traditional contests depend heavily on who shows up. Sherlock removes that variance by pairing economic incentives with historical performance data and senior review: Each contest benefits from prior outcomes.

What Leading protocols have to say

Jun 26
Rock solid security has always been a priority for Sky. Over time, it's become one of the defining features of the project. It only makes sense that the team would work with the market leader, Sherlock.
Jun 26
Working with Sherlock on both their competition product and Blackthorn securing Aave has been a pleasure. Aside from their commitment on applying the best security procedures, they are always innovating in aspects like the game-theory of security competitions.
Jul 18
We chose Sherlock because we were intrigued by the value of having multiple independent security researchers collaborating together. Our favorite part was the collaborative environment and effective feedback cycle between our team and Sherlock, making it a very productive experience.

Sherlock’s Contest Model Finds Issues at Scale

Independent researchers test code in parallel. When multiple approaches converge on the same weakness, what remains is a confirmed, high-impact issue.
Breadth of Analysis: Depth Through Competitive Discovery: High-Value Results at the Core: Hundreds of researchers approach the code from different perspectives, producing a wide exploration of potential issues. Only the most meaningful findings progress through each layer, as researchers refine, challenge, and outpace one another. What reaches your team are the validated, high-impact vulnerabilities that emerged from this collective analytic process.
Breadth of Analysis: Depth Through Competitive Discovery: High-Value Results at the Core: Hundreds of researchers approach the code from different perspectives, producing a wide exploration of potential issues. Only the most meaningful findings progress through each layer, as researchers refine, challenge, and outpace one another. What reaches your team are the validated, high-impact vulnerabilities that emerged from this collective analytic process.

Complete Lifecycle Security:
Development, audit, Post-Launch Protection

Development

Sherlock AI runs during development: reviewing code during the development cycle, flagging risky patterns & logic paths early so teams enter later stages with a cleaner, more stable codebase.

Auditing

Collaborative audits and contests concentrate expert attention where it matters most, surfacing deeper issues before launch and reducing rework late in the process.

Post-Launch

The context built during development and audit carries forward - Live code stays under active scrutiny through bounties, and when issues emerge, teams respond clearly with no downtime.