MEXC and Hacken Release AI Trading Safety Handbook to Promote Safer AI Adoption
Key Takeaways
- •MEXC and Hacken have jointly published the AI Trading Safety Handbook, a practical guide for deploying AI-assisted and automated trading tools safely across research, decision support, and trade execution.
- •MEXC's 2026 survey found that willingness to use automated trading rose from 55% to 71.8% once limits on funds, positions, leverage, and losses were introduced.
- •The handbook identifies key risks including credential exposure, excessive permissions, manipulated data, and unintended trade execution, noting that such weaknesses carry direct financial consequences at the execution stage.
- •Users are given five safety checks — Ask, Verify, Limit, Control, and Review — while platforms receive five principles: Guard, Limit, Approve, Controls, and Test.
- •Executives from both companies said safeguards will need continuous testing and strengthening as AI agents take a larger role in trading and new risks emerge.

Crypto exchange MEXC, a pioneer in 0-fee digital asset trading, and blockchain security, compliance and regulatory assurance partner Hacken have jointly released the MEXC × Hacken AI Trading Safety Handbook, a practical guide detailing how users and platforms can deploy AI-assisted and automated trading tools more safely — from research and decision support through trade execution. The publication is outlined in an official announcement from MEXC.
The handbook builds on the recent MEXC AI Trading Report, which documented strong interest in artificial intelligence alongside clear demand for greater control. According to MEXC's 2026 survey, willingness to use automated trading rose from 55% to 71.8% once limits on funds, positions, leverage and losses were introduced. That pattern — appetite for automation climbing once explicit guardrails are in place — underpins the handbook's central premise: expanding AI adoption and maintaining firm risk controls are treated as complementary goals rather than competing ones.
As AI takes on a more active role in trading, the handbook emphasizes that safety cannot rest on the AI model alone. Actions facilitated by AI should be checked against separate permissions, financial limits and risk controls before execution. The document examines risks including credential exposure, excessive permissions, manipulated data and unintended execution, while laying out practical safeguards for both users and platforms. The stakes rise along the handbook's own spectrum: a weakness at the research and decision-support stage can skew analysis, but once a system reaches trade execution, the same weaknesses — manipulated data, excessive permissions, unintended execution — carry direct financial consequences.
For users, the handbook sets out five safety checks: Ask, Verify, Limit, Control and Review. For platforms, it defines five principles: Guard, Limit, Approve, Controls and Test. Together, the two frameworks are intended to provide a practical structure for expanding the use of AI while keeping appropriate controls in place. The two lists operate at different layers: the user checks are aimed at how individuals deploy AI-assisted tools, while the platform principles address the permissions, limits and testing that surround AI-driven actions.
"AI can make trading more accessible and efficient, but greater capability should come with stronger safeguards," said Vugar Usi Zade, CEO of MEXC. "At MEXC, we want users to benefit from innovation, while taking a measured approach to AI adoption. Our People First principle means giving users access to new capabilities without losing sight of control, transparency and risk."
"AI agents will soon place more orders than people do. Trust in them should be earned the way smart contracts earned it: through independent controls, continuous red-teaming and evidence anyone can verify," said Dyma Budorin, CEO and co-founder of Hacken. "This handbook is intended to raise awareness of those risks and provide practical support for both users and platforms. As adoption grows, platforms will need to test these safeguards continuously and strengthen them as new risks emerge."
MEXC and Hacken said they hope the handbook will serve as a practical reference for users and platforms as AI becomes more deeply integrated into trading, helping to raise risk awareness and support safer, more responsible adoption across the industry. Going forward, both companies frame the work as continuous rather than one-time: per Budorin, the safeguards will need ongoing testing and strengthening as new risks emerge.
About MEXC
Founded in 2018, MEXC is a leading global multi-asset trading platform positioned as a 0-fee gateway to a broad range of markets. Serving users across more than 170 markets, MEXC provides access to crypto, stocks, tokenized assets, derivatives and a growing range of TradFi-linked opportunities through a single account and gateway. With zero trading fees, deep liquidity, broad asset coverage and a high-performance trading experience, the platform is designed for retail users looking to discover opportunities earlier, act faster and trade with fewer barriers. As crypto and traditional finance continue to converge, MEXC says it is committed to making global opportunities more accessible, helping users trade freely and "MEXCmize" every opportunity.
About Hacken
Hacken is a security and assurance partner for financial institutions and the infrastructure they rely on, including exchanges, ecosystems, custodians, banks, asset managers and tokenization platforms. Its AI security work encompasses AI agent security audits and red-teaming of AI systems. Founded in 2017, Hacken has more than 60 engineers and over 1,500 clients across industries, including the European Commission, ADGM, the Ethereum Foundation, Societe Generale-Forge, MetaMask and Bybit.
For media inquiries, the MEXC PR team can be reached at media@mexc.com.