Abstract: A computing apparatus, a non-transitory computer-readable storage medium, and a method of offering blockchain transactions of non-fungible tokens (NFTs) including providing a digital storefront platform for the NFTs with a mint module, configured to create and mint NFTs on blockchains, and a trade module configured to transact with the minted NFTs. A key cycler is configured to allow parallel transactions with blockchains, payment processors, the mint module, and the trade module. The key cycler includes a plurality of private keys on a web-based key management service (KMS). The key cycler is configured to facilitate transaction payments using fiat currency or cryptocurrency. Anti-money laundering (AML) and counter-terrorism financing (CTF) screening capabilities may be incorporated into the disclosed solution.

Abstract: A method involves receiving digital on blockchain information and digital off blockchain information. The digital data from the digital on blockchain information and the digital off blockchain information is extracted. The entity knowledge base engine contextualizes the relationships based on the digital data and the digital off blockchain information and the digital on blockchain information. The risk classification engine analyzes the digital data and transforms the digital data to an identified behavior category. The risk scoring regression engine analyzes the classified risk data and assigns a risk score to each classified risk data. The risk policy engine analyzes the classified risk data and determines if any deviations from rules or standards have or will occur. The security control system takes an action on the digital on blockchain information and digital off blockchain information based on the assigned risk score and any deviations from rules or standards.

Abstract: A method involves receiving digital on blockchain information and digital off blockchain information. The digital data from the digital on blockchain information and the digital off blockchain information is extracted. The entity knowledge base engine contextualizes the relationships based on the digital data and the digital off blockchain information and the digital on blockchain information. The risk classification engine analyzes the digital data and transforms the digital data to an identified behavior category. The risk scoring regression engine analyzes the classified risk data and assigns a risk score to each classified risk data. The risk policy engine analyzes the classified risk data and determines if any deviations from rules or standards have or will occur. The security control system takes an action on the digital on blockchain information and digital off blockchain information based on the assigned risk score and any deviations from rules or standards.