Web3 dev teams: Security should not begin when the audit starts and end when the report is delivered. Sherlock was built around a stronger model: protection during development, auditing, and post-launch - so teams can ship better code with security that stays close to the protocol over time.
2/ Development is where teams can shape code before weaknesses solidify into larger problems. Sherlock AI gives teams an audit-grade AI security layer during development, helping them catch high-impact issues earlier and ship stronger code with a level of visibility they did not have before.
3/ Auditing is the most important review window before code goes live. Hand-selected audit teams lead focused review, while contests bring wider pressure from Sherlock’s researcher network to help uncover more before launch.
4/ Post-launch is when code is live, user funds are exposed, and security needs to stay active. Researchers stay incentivized to keep testing live code, Sherlock handles triage and validation of submissions, and financial coverage adds another layer of protection in production.
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