MEXC and Hacken Release AI Crypto Trading Safety Guide
The new guide offers security protocols to protect traders using artificial intelligence for automated market activities.
Updated on Oct. 28, 2026 in Artificial Intelligence
Live Poll
Would you allow an AI agent to execute automated cryptocurrency trades on your behalf?
MEXC and Hacken have published a comprehensive safety guide for using artificial intelligence in cryptocurrency trading. The recommendations aim to mitigate risks associated with automated agents by implementing strict financial controls and security testing.
Why it matters
The guide warns that reliance on basic withdrawal restrictions is insufficient to prevent financial loss. Hacken's research found that AI agents can be manipulated into executing unauthorized actions if they are not properly contained with external limits.
The guide recommends capping leverage, losses, and exposure while enforcing financial limits outside of the AI model. Hacken reports that laboratory testing showed AI agents can execute unauthorized scripts if they gain access to software changelogs.
The players
MEXC
MEXC is a global cryptocurrency exchange platform that offers various digital asset trading services.
Hacken
Hacken is a cybersecurity firm that provides security auditing and consulting services for the blockchain industry.
The details
Traders are advised to restrict agent credentials, maintain activity logs, and incorporate emergency stop functions. The organizations suggest that human approval should be mandatory for high-risk actions to ensure that AI performance matches user intent.
Timeline
September 14-20, 2026: MEXC conducted a survey of 3,708 crypto traders.
September 2026: MEXC announced intentions to expand its AI-driven toolset.
October 27, 2026: The AI safety guide was officially published by MEXC and Hacken.
The Tech Race
This guide signals a transition toward more rigorous, human-in-the-loop security standards for AI-integrated financial tools. It mirrors the risk-based framework established by the EU AI Act, positioning these safety measures as a new industry baseline.
Users can enhance their security by applying strict leverage and loss caps to any AI trading agent they currently employ. Implementing these manual financial boundaries is essential to protect capital from potential errors or manipulation by automated systems.
The takeaway
The research highlights that AI tools for trading require external oversight to prevent unintended financial consequences. Traders should ensure they retain manual control over order sizes and position limits even when using automated research platforms.
Further reading
For more information on the evolving landscape of automated tools, visit the Artificial Intelligence section.
Source note: This article includes information reported by TokenPost.
Live Poll
Would you allow an AI agent to execute automated cryptocurrency trades on your behalf?
