Abstract: Arrangements for comprehensive threat mitigation are provided. In some aspects, an indication of threat or potential threat may be received from an external entity. In some examples, the threat may include a cybersecurity threat. In response to receiving the indication of threat, identifying data associated with the external entity may be extracted from the indication and used to retrieve pre-stored customizations associated with the desired mitigating actions of the external entity. The one or more mitigating actions may be identified and instructions to execute the one or more mitigating actions may be generated and transmitted to one or more computing devices for execution.

Abstract: A method for enhancing security of data, code, and/or network components by introducing a layer of integrity management that adapts to changing conditions within a network. The method may include use of a processor to perform intrusion analysis using an intrusion detection system and/or prevention system, behavioral analysis by accessing user logs to see if behavior is within a normal range, and/or geolocation analysis to see if the piece of data, section of code, and/or network component are within their usual surroundings. When there is a concern of a data breach, leak, and/or hack, the processor may initiate a response that detects other pieces of data, sections of code, and/or network components in proximity, initiates a self-destruct mechanism, triggers hardware to perform outside of operational specifications, and contains the spread of the data breach, leak, and/or hack through shutdown procedures, isolating affected systems, and/or alerting security personnel.

Abstract: Systems, methods, and apparatus are provided for adaptive, quantum-based VoIP security. A biometric voiceprint may be generated from a VoIP communication. In response to failure to authenticate the voiceprint, the sound waves associated with the voiceprint may be selectively neutralized without terminating the VoIP communication. In response to authentication of the voiceprint, a biometric key may be generated based on the voiceprint. A quantum encryption key may be generated and distributed via a quantum channel. A VoIP session key may be generated based on the biometric encryption key and the quantum encryption key and used to encrypt the VoIP communication. An ambient sound associated with the VoIP communication may be isolated. In response to failure to authenticate the ambient sound, the caller may be required to provide an additional form of authentication.

Abstract: Systems, methods, and apparatus are provided for disruption of retrospective decryption operations. A home server may receive an encrypted communication from a data packet and execute a predetermined response. Absence of the predetermined response may initiate a protocol that dynamically mutates the size and processing requirements for the data packet. A monitoring network associated with the home server may receive power and network usage data from network nodes deployed at a plurality of geographic locations. The monitoring network may detect shifts in power and network usage that exceed a predetermined threshold and match the shifts to the processing requirements of the mutated data packet. The monitoring network may activate automated responses including generating a geographic beacon, transmitting an alert, blocking network access to the beacon location, and/or blocking access to the home server.

Abstract: Aspects related to deepfake detection using micromodeling are provided. A micromodeling platform may train a detection model to perform micromodeling. The platform may receive sample information for identification of a user. The platform may generate micromodeling information by performing micromodeling. The platform may train the detection model to output similarity scores based on input of authentication information. The platform may generate, based on an event processing request, a similarity score indicating a similarity between authentication information of the event processing request and the micromodeling information. The platform may cause display of a detection alert if the similarity score does not satisfy a threshold. The platform may indicate approval of the event processing request if the similarity score does satisfy a threshold. The platform may send a response to the event processing request.

Abstract: Aspects related to impersonation detection using an authentication enforcement engine are provided. An authentication enforcement platform may retrieve electronic signatures and device records. The platform may train an authentication enforcement engine, using the electronic signatures and device records, to generate similarity scores for transmissions. The platform may intercept a transmission. The platform may generate a similarity score for the transmission based on extracted information of the transmission. The platform may identify whether the similarity score satisfies a threshold. If the similarity score satisfies a threshold, the platform may update a device record, update the authentication enforcement engine, and route the transmission. If the similarity score fails to satisfy the threshold score, the platform may identify whether manual review is necessary. In some examples, the platform may initiate security actions responsive to the transmission.

Abstract: A system includes a quantum memory configured to store sensitive data to be transmitted to a quantum computing device over an optical communication channel and a quantum processor operably coupled to the quantum memory and configured to generate pairs of entangled quantum bits (QuBits), and further encode each pair of the pairs of entangled QuBits based on the sensitive data. The pairs of entangled QuBits include the sensitive data. The quantum processor is further configured to store the pairs of entangled QuBits to a predetermined quantum storage medium configured to maintain a state of each pair of the pairs of entangled QuBits, identify, based on a change in state associated with one Qubit of a pair of the pairs of entangled QuBits, an unauthorized measurement of the pairs of entangled QuBits, and in response to identifying the unauthorized measurement, cause the pairs of entangled QuBits to be rendered unreadable.

Abstract: A system includes a memory configured to store a post quantum cryptography (PQC) key and sensitive data to be transmitted to a computing device over a communication channel and a processor operably coupled to the memory and configured to access the PQC key and the sensitive data. The processor is further configured to determine, based at least in part on the sensitive data, an expiration time beyond which the sensitive data is rendered unreadable. The expiration time is identified based on an estimated future time at which a quantum computing based decryption process can be utilized to read the sensitive data. The processor is further configured to encode the sensitive data based on the PQC key. The PQC key is associated with the expiration time. The processor is further configured to transmit, over the communication channel, the encoded sensitive data to the computing device.

Abstract: A system includes a quantum memory configured to store a quantum cryptographic key, a unique random key, and sensitive data to be transmitted to a quantum computing device over an optical communication channel. The system further includes a quantum processor operably coupled to the quantum memory and configured to access the quantum cryptographic key and the sensitive data and to transmit, over the optical communication channel, the quantum cryptographic key to the quantum computing device. In response to transmitting the quantum cryptographic key to the quantum computing device, the quantum processor is further configured to encode the sensitive data based on the quantum cryptographic key and a unique random key. The encoded sensitive data includes a generated one or more pairs of entangled quantum bits (Qubits). The quantum processor is further configured to transmit, over the optical communication channel, the encoded sensitive data to the quantum computing device.

Abstract: A system includes a quantum memory configured to store a first quantum cryptographic key and a quantum processor operably coupled to the quantum memory and configured to generate pairs of entangled quantum bits (QuBits). The pairs of entangled QuBits include the first quantum cryptographic key. The quantum processor is further configured to determine, based on one Qubit of each pair of entangled QuBits, a first set of measurements, transmit the pairs of entangled QuBits to the quantum computing device, and in response to transmitting the pairs of entangled QuBits, receive, from the quantum computing device, a second set of measurements of each pair of entangled QuBits. The quantum processor is further configured to identify, based on a comparison of the first set of measurements and the second set of measurements, a second quantum cryptographic key. The second quantum cryptographic key is between the system and the quantum computing device.

Abstract: Methods, systems, and apparatus may encrypt data using an encryption key and securely store the encrypted data on a quantum medium so that the data is not accessed without authorization. The encrypted data may be stored on a quantum medium in the form of quantum bits that are encoded as quantum-entangled particles having correlated quantum states. An authorized user at a second quantum computer may access the stored data and decrypt the data with a copy of the encryption key that may be obtained from the first quantum computer via quantum tunneling. An intrusion attempt by an unauthorized party to access the quantum encrypted data via the quantum medium may cause one or more echoes to be generated and passed into the quantum medium. The echoes may disturb the quantum-entangled particles and make the quantum encrypted data unintelligible to the unauthorized party so that the encrypted data cannot be accessed.

Abstract: Systems, methods, and apparatus are provided for disruption of retrospective decryption operations. A harvested file may include an embedded protocol initiated when the file is transferred. The protocol may involve increasing the size of the harvested file, decreasing processing speed to a level below a predetermined threshold, and increasing energy use to a level above a predetermined threshold. The protocol may initiate changes that result in a detectable pattern of energy use and network activity. A monitoring network associated with the home system may detect a pattern of energy use and network activity corresponding to the harvested file. The monitoring network may generate a beacon comprising a location associated with the detected energy use and network activity, transmit an alert including the location, and isolate a home server within a home system.

Abstract: Systems, methods, and apparatus are provided for disruption of retrospective decryption operations. A home server may receive an encrypted communication from a data packet and execute a predetermined response. Absence of the predetermined response may initiate a protocol that dynamically mutates the size and processing requirements for the data packet. A monitoring network associated with the home server may receive power and network usage data from network nodes deployed at a plurality of geographic locations. The monitoring network may detect shifts in power and network usage that exceed a predetermined threshold and match the shifts to the processing requirements of the mutated data packet. The monitoring network may activate automated responses including generating a geographic beacon, transmitting an alert, blocking network access to the beacon location, and/or blocking access to the home server.

Abstract: Systems, computer program products, and methods are described herein for synthetic intrusion data generation and remediation via machine learning. The present disclosure includes training a first machine learning model using a plurality of malicious code segments from a code repository, generating, using the first machine learning model, a predetermined number of generated code segments, training a second machine learning model using the plurality of malicious code segments, generating, by using the second machine learning model, at least one generated heuristic mitigation resource for the generated code segments, analyzing, via a static heuristics analysis, stored code on an endpoint device, and applying the at least one generated heuristic mitigation resource upon a first condition wherein the static heuristics analysis identifies a malicious activity.

Abstract: A method for enhancing security of data, code, and/or network components by introducing a layer of integrity management that adapts to changing conditions within a network. The method may include use of a processor to perform intrusion analysis using an intrusion detection system and/or prevention system, behavioral analysis by accessing user logs to see if behavior is within a normal range, and/or geolocation analysis to see if the piece of data, section of code, and/or network component are within their usual surroundings. When there is a concern of a data breach, leak, and/or hack, the processor may initiate a response that detects other pieces of data, sections of code, and/or network components in proximity, initiates a self-destruct mechanism, triggers hardware to perform outside of operational specifications, and contains the spread of the data breach, leak, and/or hack through shutdown procedures, isolating affected systems, and/or alerting security personnel.

Abstract: Aspects related to impersonation detection using an authentication enforcement engine are provided. An authentication enforcement platform may retrieve electronic signatures and device records. The platform may train an authentication enforcement engine, using the electronic signatures and device records, to generate similarity scores for transmissions. The platform may intercept a transmission. The platform may generate a similarity score for the transmission based on extracted information of the transmission. The platform may identify whether the similarity score satisfies a threshold. If the similarity score satisfies a threshold, the platform may update a device record, update the authentication enforcement engine, and route the transmission. If the similarity score fails to satisfy the threshold score, the platform may identify whether manual review is necessary. In some examples, the platform may initiate security actions responsive to the transmission.

Abstract: A method for enhancing security of data by introducing a layer of data integrity management that adapts to changing conditions within a data network. The method may include using a processor located and operated by a first party to encrypt a data packet, embed an algorithm into the encrypted data packet, store the latter, and/or transfer the latter to a second party. The algorithm may validate at a predetermined frequency the encrypted data packet and/or determine its location in its environment. When the algorithm indicates an issue with the encrypted data packet, the latter may provide an alert message that includes the nature of the breach, a timestamp of when it was noticed, and/or an identification of the affected encrypted data packet. The latter may also gather information about its environment and provide it back to the processor, and initiate data lockdown and access restriction back at its origin.

Abstract: Systems, computer program products, and methods are described herein for synthetic intrusion data generation and remediation via machine learning. The present disclosure includes training a first machine learning model using a plurality of malicious code segments from a code repository, generating, using the first machine learning model, a predetermined number of generated code segments, training a second machine learning model using the plurality of malicious code segments, generating, by using the second machine learning model, at least one generated heuristic mitigation resource for the generated code segments, analyzing, via a static heuristics analysis, stored code on an endpoint device, and applying the at least one generated heuristic mitigation resource upon a first condition wherein the static heuristics analysis identifies a malicious activity.

Abstract: Systems, computer program products, and methods are described herein for computing device intrusion detection via machine learning for interaction data analysis. The present disclosure includes receiving interaction event data, associating the interaction event data with the first endpoint device as a first schema, receiving an interaction event data stream and a corresponding endpoint device identifier, determining, by inputting the interaction event data stream and the corresponding endpoint device identifier to a trained machine learning model, an identified endpoint device and a presence of at least one anomaly, and transmitting a notification signal comprising schema mismatch details to the identified endpoint device.

Abstract: A system for implementing token-based authentication of text messages comprises an entity server in communication with a token server. The entity server sends a first message to the token server to request for a security token. The first message includes entity and user information with a reason for generating the security token. The token server generates the security token and sends it to the entity server. The token server stores the security token and associated data in a memory of the token server. The entity server sends a second message and the security token to a user device. The token server receives the second message and the security token from the user device for verification, and determines that the security token associated with the second message matches the stored data in the memory. The token server sends a validation message to the user device that the second message is authenticated.