Abstract: Aspects of the disclosure relate to electronic messaging security. A computing platform may push, to a client device, an electronic messaging plugin configured to validate steganographic modifications, embedded in electronic messages by the computing platform. The computing platform may intercept an electronic message directed to the client device. The computing platform may generate a steganographic modification to the electronic message. The computing platform may embed, in the electronic message, the steganographic modification, resulting in a modified electronic message. The computing platform may send, to the client device, the modified electronic message, where the client device may configured to validate, using the electronic messaging plugin, the steganographic modification prior to launching the modified electronic message at the client device.

Abstract: A system for facilitating offline processing of electronic transactions at an ATM when the ATM does not support a network connection may be provided. The system may include a mobile device configured to store an updatable account balance of a personal account associated with a user of the mobile device and transaction data associated with a plurality of transactions executed via the mobile device. The system may include the ATM being configured to operate in an offline processing mode when the network connection is unsupported. The offline processing mode may include the ATM receiving a transaction request and account data from the mobile device. The ATM may be configured to authenticate or deny the executing of the transaction request based on a predetermined threshold of transaction locations positioned at a distance greater than or less than a pre-determined distance from the ATM.

Abstract: Aspects of the disclosure relate to computing hardware and software for uniform security access. A computing platform may receive, from a 5G device, a request to access a collaborative experience service. The computing platform may identify whether the 5G device is authenticated. Based on identifying that the 5G device is authenticated, the computing platform may grant the 5G device access to an API that may be used to access the collaborative experience service. The computing platform may identify that attributes of the 5G device comply with a stored security policy, and grant access to the collaborative experience service in response. The computing platform may receive user interaction information from the 5G device, and may input the user interaction information into an anomaly detection model. Based on identifying that the interactions do not comprise an anomaly for the user, the computing platform may maintain the access to the collaborative experience service.

Abstract: Apparatus and methods for determining transaction transmission fidelity are provided. A sender may receive a transaction log including multiple transactions in two or more rows and two or more columns. The transaction log may be encrypted. Each of the transactions may be tagged. Each row and column of the transaction log may be hashed. The encrypted transaction log and the hash values may be transmitted to a recipient. The recipient may decrypt the transaction log and hash each row and column of the decrypted transaction log. The hash values may be compared and if there is a difference, a report or alert may be generated.

Abstract: Aspects of the disclosure relate to real-time management of access controls. A computing platform may detect, via the communication interface, a trigger related to an activity of an enterprise user over a network. Then, the computing platform may retrieve, via the communication interface and from the network device, data associated with the activity. The computing platform may then compare, via the computing device, the retrieved data with a central tendency for activities with the network device. Subsequently, the computing platform may identify, based on the comparing, a deviation from the central tendency. Then, the computing platform may adjust, dynamically in real-time and in response to identifying the deviation, an access control or multiple access controls for the enterprise user to the network device.

Abstract: A system for implementing Machine-to-Machine (M2M) validation receives a request from a unrecognized computing device to establish a communication with a first trusted computing device. The first trusted computing device sends a query message to a second trusted computing device to determine whether the unrecognized computing device is in a list of trusted devices associated with the second trusted computing device. The first trusted computing device receives a response message from the second trusted computing device indicating that the unrecognized computing device is in the list of trusted devices. In response, to receiving the response message, the first trusted computing device approves the request of the unrecognized computing device.

Abstract: Aspects of the disclosure relate to real-time classification of content in a data transmission. A computing platform may detect, in real-time and via a computing device, a plurality of data transmissions between applications over a communications network. Then, the computing platform may retrieve, for a particular data transmission of the plurality of data transmissions, a content of the particular data transmission. The computing platform may then analyze, via the computing device, the content. Subsequently, the computing platform may determine, in real-time via the computing device and based on the analyzing, a security classification for the content. Then, the computing platform may cause, in real-time via the computing device, the content to be marked with the determined security classification.

Abstract: When a system tries to access a network (e.g., another system, an application, data, or the like) at least two-factor authentication may be used to validate the system. At least one authentication factor may include utilizing authentication credentials of the entity or system accessing the network. At least a second authentication factor may include using an environment hash of the system, which is a representation of the configuration (e.g., hardware, software, or the like) on the system trying to access the network. The environment hash may be compared to hash requirements (e.g., authorized environment hashes, unauthorized environment hashes, or the like) to aid in the validation. The system may only access the network when both the authentication credentials and the environment hashes meet requirements.

Abstract: Apparatus and methods to decipher and analyze hidden/figurative meanings in communications using contextual analysis are provided. The apparatus and methods may include generating an initial list of slang words and phrases and their corresponding hidden/figurative meanings, searching the Internet for new slang words and phrases, determining the corresponding hidden/figurative meanings of the new slang words and phrases, and contextually analyzing a set of communications for hidden/figurative meaning. The apparatus and methods may include generating an alert if a relevant hidden/figurative meaning is found in the set of communications.

Abstract: Aspects of the disclosure relate to computing hardware and software for uniform security access. A computing platform may receive, from a 5G device, a request to access a collaborative experience service. The computing platform may identify whether the 5G device is authenticated. Based on identifying that the 5G device is authenticated, the computing platform may grant the 5G device access to an API that may be used to access the collaborative experience service. The computing platform may identify that attributes of the 5G device comply with a stored security policy, and grant access to the collaborative experience service in response. The computing platform may receive user interaction information from the 5G device, and may input the user interaction information into an anomaly detection model. Based on identifying that the interactions do not comprise an anomaly for the user, the computing platform may maintain the access to the collaborative experience service.

Abstract: A method using one or more mobile devices for transporting information from an automated teller machine (“ATM”) to a central server when the ATM does not support a network connection and, upon return of the one or more mobile devices to the ATM, updating the ATM may be provided. The method may include transporting electronic transaction data processed locally at the ATM, via a mobile device, to a location where a network connection between the mobile device and the central server may be established. When in a location including network connection, the method may include transmitting the electronic transaction data to the central server. When the mobile device is detected to have returned to be within the pre-determined range of the ATM, the method may include transmitting a data packet to the ATM, the data packet received from the central server, thereby updating the ATM of the transmittal.

Abstract: Aspects of the disclosure relate to energy optimization. A computing platform may receive an event processing request, and may identify its parameters. The computing platform may package, based on the parameters, the event processing request into containers. The computing platform may input the parameters into an energy optimization model, which may identify: a data center computing system and an energy mix for processing the event processing request. The computing platform may encrypt the containers. The computing platform may send, to the data center computing system, the encrypted containers and commands directing the data center computing system to: decrypt the encrypted containers to identify the event processing request, and process the event processing request using the energy mix, which may cause the data center computing system to decrypt the encrypted containers and process the event processing request using the energy mix.

Abstract: Arrangements for detecting anomalies and dynamically generating a response are presented. In some examples, attribute data including a plurality of source elements may be received. The source element data may be received from a plurality of source computing systems. The attribute data, including the source element data, may be analyzed using machine learning techniques to identify any anomalies in the attribute data. If an anomaly is detected, a notification may be generated including data associated with the anomaly, a user associated with the anomaly and the like. The notification may be transmitted to a computing device for display. In some examples, if an anomaly is detected, data associated with the anomaly may be compared to pre-stored rules to determine whether a pre-stored rule applies to the identified anomaly. If a pre-stored rule applies, an instruction or command may be generated and transmitted to one or more source computing devices or systems.

Abstract: Aspects of the disclosure relate to energy optimization. A computing platform may receive a cryptocurrency request indicating a gas price and KPIs of the cryptocurrency request. The computing platform may input the gas price and the KPIs into a mining optimization model, which may cause the mining optimization model to output an energy mix for use in processing the cryptocurrency request. The energy mix may indicate energy sources, capable of providing an amount of energy needed to process the cryptocurrency request and used to support operation of a data center configured to process cryptocurrency requests, and a cost of the amount of energy from the energy mix may be less than a cost of the amount of energy from other available energy sources. The computing platform may send commands directing the data center to process the cryptocurrency request using the energy mix, which may cause it to do so.

Abstract: Aspects of the disclosure relate to energy optimization. A computing platform may receive an event processing request. The computing platform may identify parameters of the event processing request. The computing platform may input the parameters into a global energy optimization model, to identify an edge computing system at which to process the event processing request. The computing platform may route the event processing request to the edge computing system along with commands to process the event processing request using an energy mix identified by a local energy optimization model, corresponding to the edge computing system, which may cause the edge computing system to: input the parameters of the event processing request into the local energy optimization model to identify the energy mix, and process, using the energy mix, the event processing request.

Abstract: A method is provided to reduce the number of duplicates of each document that is stored within entity databases. The method may include creating discrete links and/or pointers to the location of the document already stored within an entity. The method may also include separating the document into different classification levels. The method may include storing the different parts of the documents in different locations within the entity.

Abstract: A method enabling processing electronic transactions received at the ATM when network connection with the central server is disrupted. The method may enable processing each electronic transaction received using an alternative data routing pathway. The alternative data routing pathway may leverage one or more edge devices within close proximity to the ATM to serve as a proxy for transmitting data to the central server. The one or more edge devices may be enabled to carry electronic transaction data from electronic transactions processed locally at the ATM to a location where a network connection between the one or more edge devices and the central server may be established. When in a location including network connection, the one or more edge devices may transmit the electronic transaction data to the central server.

Abstract: Arrangements for secure user authentication through hardware analysis and monitoring are provided. In some aspects, a computing platform may receive, from one or more hardware devices, user interaction data. The computing platform may establish a baseline indicating an expected usage pattern of the user. The computing platform may receive, from the one or more hardware devices, subsequent user interaction data and determine whether the subsequent data is unauthorized. Based on the subsequent data not being unauthorized, the computing platform may calculate an updated baseline in real-time as the subsequent data is received. The computing platform may monitor for additional user interaction data from the one or more hardware devices and compare the additional user interaction data with the updated baseline. In response to the additional user interaction data deviating from the updated baseline by a predetermined threshold, the computing platform may identify an anomaly and transmit a security notification.

Abstract: Systems, devices, and methods for user authentication are described. A security platform may authenticate a user based on a machine learning model created using historical user behavior. The user behavior may correspond to user interaction with and/or operation of a computing device. The user behavior may correspond to, for example, historical user purchase patterns. Applications include user authentication for online and offline purchases, access to computing resources, and/or access to physical locations.

Abstract: Systems, devices, and methods for user authentication are described. A security platform may authenticate a user based on a machine learning model created using historical user behavior. The user behavior may correspond to user interaction with and/or operation of a computing device. The user behavior may correspond to, for example, historical user purchase patterns. Applications include user authentication for online and offline purchases, access to computing resources, and/or access to physical locations.