Abstract: Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and/or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.

Abstract: Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and/or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.

Abstract: Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and/or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for enhanced detection of polymorphic malicious content within an entity. In this regard, the present invention receives information associated with an incidence of an electronic file; receives an first hash value of the electronic file from a first network device and a second hash value of the electronic file from a second network device; compares the first hash value with the second hash value; determines that the electronic file is polymorphic based on at least the match; initiates an execution of a quantum optimization algorithm using a quantum optimizer to determine one or more hash value states; receive information associated with an incidence of the electronic file at the third network device; determine that the electronic file is malware; and initiate an intrusion detection protocol configured to deny the electronic file access to the third network device.

Abstract: A closed-loop system is operatively connected with a block chain distributed network for using the block chain distributed network for facilitating operation of a transaction record sharing system. Host and source institutions function to supply a consolidated transaction record to a user in response to a request from a user to the host institution. The request is determined to meet a condition of the block chain thereby verifying the request. The verified request for a transaction record is transmitted to at least one source institution. The transaction record of the source institution is accessed by the host institution. A consolidated transaction record is communicated to the user based on the transaction record.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for enhanced detection of polymorphic malicious content within an entity. In this regard, the present invention receives information associated with an incidence of an electronic file; receives an first hash value of the electronic file from a first network device and a second hash value of the electronic file from a second network device; compares the first hash value with the second hash value; determines that the electronic file is polymorphic based on at least the match; initiates an execution of a quantum optimization algorithm using a quantum optimizer to determine one or more hash value states; receive information associated with an incidence of the electronic file at the third network device; determine that the electronic file is malware; and initiate an intrusion detection protocol configured to deny the electronic file access to the third network device.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for enhanced detection of polymorphic malicious content within an entity. In this regard, the present invention receives information associated with an incidence of an electronic file; receives an first hash value of the electronic file from a first network device and a second hash value of the electronic file from a second network device; compares the first hash value with the second hash value; determines that the electronic file is polymorphic based on at least the match; initiates an execution of a quantum optimization algorithm using a quantum optimizer to determine one or more hash value states associated with the electronic file for a third network device; and initiates a control signal configured to store the one or more hash value states in a database associated with the third network device.

Abstract: A closed-loop system is operatively connected with a block chain distributed network for using the block chain distributed network for facilitating operation of a transaction record sharing system between member institutions comprising a host system and a source system. Host and source institutions function to share the transaction records from member institutions such that a host institution that is a member of the block chain may obtain the transaction records of all source institutions of the block chain. The transaction records are validated on the block chain such that the transaction records are secure represent a source of truth.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for enhanced detection of polymorphic malicious content within an entity. In this regard, the present invention receives information associated with an incidence of an electronic file; receives an first hash value of the electronic file from a first network device and a second hash value of the electronic file from a second network device; compares the first hash value with the second hash value; determines that the electronic file is polymorphic based on at least the match; initiates an execution of a quantum optimization algorithm using a quantum optimizer to determine one or more hash value states associated with the electronic file for a third network device; and initiates a control signal configured to store the one or more hash value states in a database associated with the third network device.

Abstract: A closed-loop system is operatively connected with a block chain distributed network for using the block chain distributed network for facilitating operation of a transaction record sharing system. Host and source institutions function to supply a consolidated transaction record to a user in response to a request from a user to the host institution. The request is determined to meet a condition of the block chain thereby verifying the request. The verified request for a transaction record is transmitted to at least one source institution. The transaction record of the source institution is accessed by the host institution. A consolidated transaction record is communicated to the user based on the transaction record.

Abstract: A closed-loop system is operatively connected with a block chain distributed network for using the block chain distributed network for facilitating operation of a transaction record sharing system between member institutions comprising a host system and a source system. Host and source institutions function to share the transaction records from member institutions such that a host institution that is a member of the block chain may obtain the transaction records of all source institutions of the block chain. The transaction records are validated on the block chain such that the transaction records are secure represent a source of truth.