TECHFUND partners with SolidityScan to expand Hi AUDIT

TECHFUND Inc. has upgraded its automated security assessment tool, Hi AUDIT, by integrating it with SolidityScan, an AI-powered Web3 security scanner developed by CredShields Technologies Pte. Ltd.

The integration brings together TECHFUND’s auditing expertise and risk assessment logic with CredShields’ platform, which features over 700 OWASP-compliant vulnerability detectors. The combination allows Hi AUDIT to deliver more accurate, context-aware assessments that adapt to different project types and industry use cases. Hi AUDIT, leveraging years of auditing experience, is effectively diminishing false positives and extending its analysis to cover the DeFi, GameFi, and NFT ecosystems. This is a notable advance for the hybrid security automation that merges AI with human analysis and through this, makes Web3 security faster and more scalable.

The increasingly complex nature of smart contracts due to the growing Web3 technology has resulted in the difficulty of detecting vulnerabilities. At the same time, projects are under pressure to deliver fast without security being an issue.

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TECHFUND has worked with many Web3 projects, gathering practical insights into real risks. Hi AUDIT was built on this experience, using a unique vulnerability database, specialized logic, and multiple analysis engines like Oyente and Mythril. It uses static analysis, dynamic analysis, and formal verification to provide multi-layered, accurate diagnostics.

By adding SolidityScan, which is trusted by major blockchain explorers, IDEs, and businesses, Hi AUDIT further improves detection and reduces manual work for security teams.

Better Accuracy: Combining AI with TECHFUND rules helps catch tricky Web3 logic issues that traditional tools miss.

Tailored Analysis: Hi AUDIT adjusts its checks depending on whether the project is DeFi, GameFi, or NFT.

OWASP Compliance: SolidityScan covers the OWASP Smart Contract Security Top 10.

Realistic Risk Assessments: The system has been supplied with feedback from hundreds of expert audits that not only create assessments but also mirror real attack scenarios.

Fewer False Positives: The multi-faceted AI scrutiny lessens the noise that makes it hard for developers to see what is important, thus, helping them concentrate on the critical issues.

TECHFUND plans to keep improving its hybrid model of automated analysis plus expert audits. The self-learning diagnostic system will consist of the Hi AUDIT system which will be continually updated with new vulnerabilities from the audits.

This update enables Web3 projects to secure their platforms quicker and more precisely, besides reducing the overall cost, thus making the Web3 ecosystem more robust and safer.