Token Security Audits

QuantHive goes beyond traditional trading platforms by integrating robust token security auditing directly into the trading experience, giving users the ability to assess risk before they commit to a trade. This is made possible through a strategic partnership with ZarkLabs, a leading AI security firm specializing in smart contract analysis and on-chain risk intelligence.

At the heart of this system is the ZarkLabs Token Security Score: an AI-powered rating that evaluates each token’s contract and ecosystem for potential vulnerabilities and red flags. The score is generated using advanced machine learning models that analyze multiple layers of a token’s structure and behavior, including:

• Smart contract logic – Detects malicious code patterns or poorly written contracts that could lead to rug pulls, honeypots, or minting exploits.

• Token holder distribution – Flags tokens with high wallet concentration or suspicious whale activity, which can indicate centralized control or pump-and-dump schemes.

• Liquidity analysis – Assesses how locked and decentralized the token’s liquidity is, which affects the risk of sudden liquidity drains or manipulation.

• Deployment history – Traces a token’s contract lineage to detect clones of previously known scam contracts or reused malicious codebases.

Each token is then scored and color-coded for easy understanding, ranging from low-risk to high-risk, so users can make informed, secure trading decisions at a glance.

By embedding this security layer into QuantHive’s trading workflow, users, especially newer or under-resourced retail traders, gain access to institutional-grade due diligence tools that dramatically reduce their exposure to scams and bad actors. It’s part of QuantHive’s broader mission to restore trust in the Web3 trading landscape by empowering users with both data transparency and AI-enhanced protection.