CIFDAQ is implementing machine learning techniques that understand and analyze code across various programming languages across CIFDAQ chain, and therefore provides bug detection and quality assurance capabilities that will enhance the security of CIFD smart contract or any other contract deployed on CIFDAQ chain. CIFDAQ AI Machine Learning takes smart contracts as input and learns its patterns and characteristics and helps to automate the code analysis and bug detection.

CIFDAQ is using AI technology to enhance the security of the exchange and wallets in order to ensure the security of funds of investors and users. CIFDAQ will use the MPC wallets or multi-party computing wallets powered by AI predictive models to create a shield of protection from external hacking and external fraud and corruption.

CIFDAQ AI is responsible for creating customers' hot wallets where the private key will be fractionated into N-number of pieces and stored in anonymous places by AI. No internal developer or managerial employee will be able to know where the private key is stored and how many pieces are fractionalized. Users through CIFDAQ AI will be sure that their wallets are secured and that their private keys are not revealed to anyone.

CIFDAQ Custodian is powered by AI technology and will create a new MPC model called "AI MPC." CIFDAQ AI will fractionalize the private keys into N pieces and store them in anonymous places, which will protect users' private keys from internal fraud and corruption, and external hacking. CIFDAQ AI Custodian will create defensive security predictive models that will stand as a shield against hackers. No one is able to move funds from a cold wallet to any external wallet without the approval of the AI.

CIFDAQ AI is able to handle large amounts of data and transactions in a decentralized way and more efficient and effective way to process and analyze data Through its unique consensus “Proof of Trust'' which a combination of proof of Stake and Proof of Immutability driven by AI technology data analyzing power. CIFDAQ AI chain transaction speed is 50,000 transactions per second and will escalate by time with the development and the self learning mechanism of the neural deep learning algorithms to reach 350,000 transactions per second.

CIFDAQ blockchain Decentralized Artificial Intelligence mechanism will be based on a parallel validating system consisting of numerous independent nodes located all over the network.

Through CIFDAQ  AI, the data storage method  helps to enhance the usage of blockchain. Using the TTA-CB protocol, CIFDAQ chain will  lower the issues of data storage through PSO algorithms which will improve the speed of data queries and enhance the overall efficiency and performance of the chain.

CIFDAQ NFT Marketplace is the first marketplace that will be using Artificial Intelligence techniques and algorithms to set the price of NFTs that are minted to be sold on the marketplace. All NFT Marketplaces such as OpenSea, Crypto.com, Rarible, Binance and others have a problem in the pricing of NFTs. CIFDAQ NFT Marketplace avoid this problem thanks to AI.

CIFDAQ Metaverse chatbots powered by AI will assist users by providing them with instructions and information about various products and services, answering their questions, completing transactions on users’ behalf and taking orders For instance, if a user cannot find a specific good, the chatbot could easily solve this problem by directing the customer to the needed location within the CIFDAQ Metaverse. CIFDAQ Metaverse AI will be utilized to create inclusive interfaces that will make the users’ journeys convenient for everyone.

CIFDAQ H-CEX will use AI in high-frequency trading strategies because AI can mimic human intelligence. Traders who can execute trades quickly are more profitable than those who can execute trades slowly. CIFDAQ H-CEX will provide traders a high trade execution rate to facilitate their trading needs. CIFDAQ AI will utilize High-frequency trading which is a sort of algorithmic trading in which a computer executes many orders in fractions of a second that can be used by investment and hedge funds.