The problem QuillShield AVS solves

Problem

Web3 has a fundamental problem of security. Although audits provides some assurance, they cannot gaurantee foolproof security. Traditional auditing methods also greatly rely on the trust put into the human auditors. Protocols get no economic insurance from these audits, and users don't have the option to verify the security of a Dapp.

Solution

Presenting QuillShield AVS. QuillShield AVS brings verifiable AI powered smart contract auditing on-chain. QuillShield can power the security a multi-chain ecosystem with its verifiable audits and insurance mechanisms.

QuillShield AVS solves several problems

• Allows end users to verify the security of the dapps they interact with.
• Provides economic risk insurance against smart contract exploits.
• Allows devs a Web3 native way to deploy and verify their smart contracts, as they go from testnet to mainnet
• Makes use of Frontier AI models to provide highly accurate results and findings over bugs and vulnerabilities
• Solves the conundrum of trust in centralised parties, giving it to EigenLayer AVS Operators.

While AI audits provide a certain degree of assurance to the users, the integrated insurance offers protection to all stakeholders in the event of an attack.

QuillShield AVS thus provides verfiable and risk insured security to the ecosystem

Challenges we ran into

Perhaps the biggest challenge was creating a way to 'verify' audit reports. Our approach involves the use of hashing over the contents of the audit report and validating it through other operators who run the same computation off chain to verify and match the results, thereby providing approvals or disapprovals.

Other minor challenges were setting up reliable RPCs and infra.