TRUSTBYTES provides a dynamic intelligence layer for institutional crypto wallets, shifting treasury operations from reactive to proactive management. The platform uses predictive analytics to automate capital rebalancing and ensure continuous compliance based on real-time market data. This intelligent framework optimizes yield capture and frees up operational teams from manual, 24/7 oversight.
Funding
Funding not disclosed
Founders
Product
Problem
Web3 security audits often fail to detect critical code vulnerabilities, leading to significant financial losses for protocols and users. Traditional manual audits are time-consuming and prone to human error, while existing automated tools lack the sophistication to identify complex flaws in smart contracts and business logic.
Solution
TRUSTBYTES offers an AI-powered analytics platform that enhances Web3 security audits through interactive code visualization and semi-automated vulnerability detection. The platform employs an ensemble of AI agents trained on real-world security researcher data to identify technical vulnerabilities as well as flaws in the business logic and tokenomics of protocols. By providing security researchers with advanced tooling and code visualization capabilities, TRUSTBYTES enables faster and deeper understanding of codebases, reducing false negatives and improving the overall quality of security assessments. The platform also facilitates continuous security checks and incorporates a reinforcement learning approach to prevent future smart contract attacks.
Target Audience
TRUSTBYTES targets Web3 audit firms, independent security researchers, blockchain engineers, and protocols seeking to enhance their smart contract security and reduce the risk of undetected vulnerabilities. The platform also caters to institutional wallet providers and their users, offering an intelligence layer for proactive capital management and rebalancing.
Features
- AI-driven vulnerability detection using an ensemble of AI agents
- Interactive code visualization for rapid security insights
- Detection of flaws in smart contract business logic and tokenomics
- Semi-automation of security review/audit workflows, reducing audit time and costs
- Continuous security checks with regularly updated AI models
- Reinforcement learning approach for preventing smart contract attacks
- Training on real-world security researcher/auditor data for improved performance
- Integration with institutional wallets for dynamic policies and predictive intelligence