Security

Interfold (FOLD) is a privacy-preserving computing project designed to let multiple parties collaborate on computations without revealing their individual inputs. Its core concept allows organizations or individuals to contribute private data to a shared computation while retaining the ability to verify whether the resulting output is correct.

Gate account security is not just about setting a strong password. Credential leaks, compromised email accounts, phishing sites, malware, excessive API permissions, and unauthorized withdrawals can all create different attack paths. A stronger approach is to build separate layers of protection around login, identity verification, trading, and withdrawals.

The Gate Anti-Phishing Code is a custom security feature that Gate users can set to help verify whether an email really came from Gate: your chosen code appears in certain official emails, so you can compare it before trusting the message or taking any action. For Gate users and cryptocurrency traders who want better protection against account fraud, this gives you a practical way to spot phishing attempts that target exchange accounts.

The Gate Secure Asset Fund for Users, or SAFU, is a dedicated fund designed to strengthen user asset protection. It is not part of ordinary operating capital. Instead, it provides an additional financial buffer on top of Gate’s reserve and security systems for extreme scenarios such as cyberattacks, liquidity crises, and other major security incidents.

CertiK is a leading Web3 security firm specializing in smart contract audits, blockchain security, and compliance solutions. It offers services such as code audits, blockchain L1/L2 audits, wallet security, penetration testing, and risk management.

AI-driven cyberattacks are a new type of threat that leverages generative AI, AI Agents, voice synthesis, deepfakes, and automated coding tools to carry out cyber intrusions, fraud, identity theft, and digital asset theft. In August 2026, more than 100 companies across the AI, cloud computing, cybersecurity, financial, and infrastructure sectors signed an open letter warning that AI cyberattacks could become more widespread and sophisticated in the coming months. For everyday users, the key risks to watch for include AI-powered phishing, voice cloning, deepfakes, account takeovers, malicious plugins, wallet theft, and automated social engineering.

Copy trading risk management means controlling how much capital follows a Lead Trader, capping leverage and drawdowns, and accepting that Copier results can differ from the Lead Trader due to timing, fees, and position sizing. On Gate Copy Trading, Copiers use Quick Copy or Advanced Copy settings—copy multiple rate, stop-loss, and margin mode—to limit exposure while the Prometheus Copy Trading Risk Control System and Lead Trader Risk Control System add platform-level safeguards.

Cardano is a public blockchain network centered on smart contracts, utilizing a layered architecture and a Proof of Stake (PoS) mechanism. It aims to provide a more secure and scalable underlying support for decentralized applications and financial infrastructure. Its consensus mechanism, Ouroboros, enhances network security and energy efficiency through mathematical modeling and formal verification design. ADA, Cardano's native token, serves as both the settlement currency for network transactions and a key tool for staking and governance. Through decentralized stake pools and incentive mechanisms, network participants collectively maintain system operations and security, enabling Cardano to operate continuously without centralized control.

As AI Agent technology advances rapidly, artificial intelligence has grown beyond simply answering questions or generating content; it's now actively assisting users with real-world tasks like shopping, booking, and making payments. "AI Conversational Payments" stands out as a significant next-generation digital finance innovation, empowering users to complete the entire Operar process using natural language. This article explores the mechanics of AI Conversational Payments, detailing the end-to-end workflow in which an AI Agent understands requirements, initiates the Operar, and completes payment. It also examines how MoonPay PayBox seamlessly integrates AI, payments, and Web3 wallets to deliver a more streamlined and user-friendly payment experience.

AI assistants are rapidly evolving from simple chat tools into digital agents capable of executing real-world financial operations. With MoonPay’s newest offering, PayBox, users can initiate payments, reserve restaurant tables, shop for products, and even arrange flights—all directly within ChatGPT or Claude conversations. Asset control is safeguarded through non-custodial vaults, Passkey authentication, and an MPC-based security architecture.

AI Agents are increasingly capable of handling shopping, bookings, and payments, turning the idea of "completing a transaction in a single sentence" into reality. As AI becomes involved in financial operations, a central question emerges for users: Can AI directly control my assets? This article presents the security architecture of AI payments, providing an analysis of core technologies including non-custodial wallets, Passkey, MPC (Multi-party Computation), and trusted execution environments (TEE). Using MoonPay PayBox as a case study, we examine how AI Payment strikes a balance between convenience and asset security.

As the cryptocurrency market evolves rapidly, trading transparency and asset security have emerged as critical industry issues. AMLBot is a compliance and risk management platform purpose-built for the digital asset sector. Leveraging blockchain transaction monitoring, wallet risk detection, KYC verification, and AI-driven on-chain tracking tools, it enables enterprises and users to identify potential risks and foster a more secure and transparent crypto financial ecosystem.

As the cryptocurrency market continues to mature, compliance management has become a critical concern for exchanges, wallet providers, and Web3 platforms. AML, KYC, and KYT are the three most prevalent compliance mechanisms in the digital asset sector; however, their differences are often misunderstood. This article outlines the core concepts, operational procedures, and application scenarios for AML, KYC, and KYT, and explores how AMLBot integrates these tools to help enterprises establish a robust risk management framework for cryptocurrencies.

Blockchain’s open and transparent nature allows every cryptocurrency transaction to be queried directly on-chain. Yet, as funds move through multiple wallet addresses, cross-chain bridges, or across different blockchain networks, tracing their actual flow becomes significantly more complex. This article outlines the fundamental principles of blockchain asset tracing, details the on-chain investigation process and common analysis methodologies, and examines how AMLBot AI Tracer utilizes artificial intelligence to analyze transaction hashes, wallet addresses, and fund flows. Additionally, it discusses the scope of application and limitations of on-chain investigation tools.

Multi-signature mechanisms mitigate the risk of asset theft from single private key exposure by requiring multiple authorized parties to co-sign transactions. However, they cannot assess whether signers have been deceived, nor can they identify if a transaction with valid signatures includes malicious permission changes. The $285 million attack on Drift Protocol illustrates that when multi-signature thresholds are low, transactions can be pre-signed, critical operations lack time locks, and signature contents are difficult to interpret, attackers do not need to break cryptography—they only need to secure enough legitimate signers to approve a malicious transaction. As a result, multi-signature security relies on signature independence, permission boundaries, transaction readability, execution delays, and real-time monitoring—not merely the number of signers.