Develop a faster, more reliable, and comprehensive Clarity smart contract security solution to replace the traditional manual auditing which is time-consuming, expensive, and prone to human error.
Built Clara, a Formal Verification engine powered by an AI Audit Agent that automates generation and verification of formal properties and invariants to test business logic and to verify security vulnerabilities.
Enhanced security through early detection of vulnerabilities, reducing reliance on costly manual audits and accelerating time-to-market by generating instant reports that reduce audit time from weeks to minutes.
The immutable nature of deployed smart contracts creates a critical security concern, as post-deployment vulnerabilities are typically irreversible, leading to substantial financial and reputational damage. As the ecosystem matures, escalating complexity increases the risk of exploits.
Traditional auditing processes involve manual review by consultants, which can take weeks or even months, delaying project timelines. Existing static analysis tools, though efficient, frequently fail to detect vulnerabilities stemming from complex business logic. Organizations need an automated, intelligent system that accelerates audits, reduces human error, and provides deeper insights beyond static code scanning.
Clara wanted to solve this problem for the Stacks ecosystem by building a tool that could comprehensively analyze Clarity smart contract logic, provide actionable insights, and integrate seamlessly into existing workflows without disrupting the development speed.
Tintash designed Clara, a formal verification engine powered by an AI audit agent that performs deep static and dynamic analysis to detect vulnerabilities beyond surface-level scanning. The development team faced several challenges, including the need to train AI models specifically for Clarity, the smart contract language for the Stacks blockchain. Unlike Solidity-focused tools, Clara had to understand and adapt to Clarity's unique nature - Turing-incomplete and decidable among other characteristics - to avoid false positives and improve detection accuracy.
Team Achievements:
- Developed a multi-agent AI audit system capable of modeling vulnerabilities based on real-world attack patterns.
- Overcame bias in existing LLMs by finetuning AI models with Clarity-focused datasets to ensure accurate vulnerability detection.
- Implemented formal verification techniques that mathematically prove the correctness of smart contracts, providing stronger security assurances compared to traditional fuzzing techniques.
- Designed an intuitive workflow that allows developers to upload contracts via GitHub or direct file submission and receive detailed security assessments within minutes.
- Clara delivers a fully automated, end-to-end contract audit - no manual steps required. Simply upload a smart contract or connect your code repository, and the platform generates a comprehensive final audit report highlighting vulnerabilities and compliance insights.
The biggest challenge was ensuring that Clara could go beyond static code analysis to detect business logic errors and systematically uncover security vulnerabilities, which often remain undetected by conventional tools. Our team developed an AI-powered machine-aided remediation engine that not only flags security vulnerabilities but also suggests fixes based on best practices, reducing developers' burden in securing their code.
Clara pinpoints code segments requiring attention and provides recommended fixes that adhere to industry standards.
Clara is a web-based AI audit platform that provides a streamlined, developer-friendly interface for smart contract security assessments. The dashboard presents key security metrics such as threat scores and vulnerability categorization, enabling quick risk assessment. The tool generates detailed vulnerability reports, offering precise explanations and mitigation strategies. Clara's formal verification outputs validate smart contract correctness with machine-assisted reasoning through mathematical theorem proofing, ensuring higher reliability. Its integration capabilities allow developers to use it within future GitHub Actions, CLI environments, and Visual Studio Code extensions, making security auditing a seamless part of their workflow.
The fact that the audit engine is continuously being updated, based on the industry security benchmarks, ensures the audit engine stays current, identifying both known and emerging vulnerabilities. This allows Clara clients to deploy contracts faster with enhanced security confidence. By enabling developers to catch security flaws early, accelerate smart contract deployment, and ensure a higher level of trust and security in decentralized applications, Clara is redefining how blockchain projects approach security audits.
