Wells Fargo Bank, N.a.

Govinda Rajulu Nelluri

Rameshchandra Bhaskar Ketharaju

Udaya Ramu Peethani

Vinay K Pandey

Jagadeesh Ganaparthi

Hari Prasada Raju Kunadharaju

Shashank Raju Birudharaju

Narasimha Murthy Edala

Systems, methods, and computer-readable storage media for restricting exchanges using a proof of integrity model. One system includes memory and at least one processing circuit configured to receive, from a node on a first DLT network, an exchange request, the exchange request includes an amount of a digital asset to exchange, a content item, and a destination identifier. The at least one processing circuit is further configured to generate an exchange record and validate the exchange record in the amount of the digital asset based on a protection model. The at least one processing circuit is further configured to authorize, based on a consensus model, the exchange corresponding with the validated exchange record including the appended protection parameter. The at least one processing circuit is further configured to generate a new blockchain block on the first DLT network and transmit, to a second DLT network, an exchange notification.

Protection architecture using proof of integrity on distributed ledgers

An example computer system for colonizing transactions can include: one or more processors; and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to: receive a transaction initiated by an originator; automatically route the transaction to a colony based upon a context packet associated with the transaction; and store data associated with the transaction in the colony; wherein the colony satisfies regulatory requirements of a geographic area associated with the transaction.

Colonization of transactional data based upon geography

Dynamic allocation of cash. Dispensing of cash by an automatic teller machine (ATM) can be prioritized, e.g., for customers of the financial institution that operate the ATM over non-customers. A request by a customer to hold cash at an automatic teller machine (ATM) for future withdrawal is analyzed using an architecture of artificial intelligence. If the cash hold request is approved, in some examples the requested amount of cash is moved from a first cash rack of the ATM to a second cash rack of the ATM. The requested amount of cash cannot be moved from the second cash rack unless the customer withdraws it from the ATM or unless a time limit for the customer to withdraw the requested amount from the ATM is exceeded.

Dynamic allocation and dispensing of cash

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Hyderabad, India

Govinda Rajulu Nelluri