Challenge

The rapid growth of Decentralized Applications (DApps) unlocks exciting possibilities, but their reliance on smart contracts for user assets introduces critical security risks. Buggy code can open the door to hacks and exploits, as evidenced below:

• Hacks & Exploits: Over $15 billion of funds was lost due to exploits in the Web3 ecosystem to date. $1.7 billion in crypto was stolen in 2023 across over 200 hacks. (2022 was the biggest year ever for crypto theft, with $3.7 billion stolen).

• Phishing & Scams: The total funds lost by users to crypto phishing attacks amounted to $300 million during 2023. Exit scams accounted for $136 million over 263 cases in the same year.

But why?

• Costly Gatekeepers: Traditional audits can cost tens to hundreds of thousands of dollars, creating a significant financial barrier for early stage projects.

• Phishing & Scam Blind Spots: Traditional audits cannot address external threats like phishing scams and social engineering attacks targeting users' crypto wallets and assets.

• Focus on the Badge, Not Security: The emphasis on securing a "stamp of approval" from a big-name auditor can overshadow the core goal of identifying and fixing vulnerabilities.

• Launch Delays: The time-consuming audit process can delay product launches and token listings, incentivizing some projects to bypass audits altogether in a rush to market, potentially exposing users to security risks.

• Auditor Roulette: The quality and clarity of reports, along with communication throughout the audit, can vary depending on the assigned auditor.

Traditional audits, while essential, struggle with inherent human limitations that hinder their effectiveness in the fast-paced Web3 landscape. This is where AI-powered audit solutions come into play. By leveraging advanced machine learning and automation, AI can surpass human limitations and deliver a new level of security and efficiency for the Web3 ecosystem.