Abstract: A method of deploying a multibranch stent graft at a target site having a main lumen and a first branch lumen is provided. The method includes advancing a catheter including a main body having a first portion and a second portion, the main body defining a first portal being pre-cannulated with a first guide member, partially deploying the first portion of the main body, advancing a first sheath along the first guide member through the first portal, advancing a first articulatable wire through the first sheath, positioning the first articulatable wire into a first branch lumen of the target site, partially deploying the second portion of the main body, fully deploying the first portion and the second portion of the main body, advancing a first side branch body along the first articulatable wire into the first branch lumen, and deploying the first side branch body in the first branch lumen.

Abstract: A multibranch implantable device including a main body including a tubular element having wall defining a main lumen, the tubular element having a first end defining a first opening into the main lumen and a second end defining a second opening in the main lumen, the tubular element including at least one side branch portal defining an aperture through the wall between the first longitudinal end and the second longitudinal end of the tubular element and at least one secondary body defining a secondary lumen, the at least one secondary body operable to be deployed with a portion of the secondary body positioned in the at least one side branch portal of the main body.

Abstract: An electrical conductor assembly for use in a power distribution assembly includes an electrical conductor and a casing covering at least a portion of the electrical conductor. A spring member is mounted to the casing and configured to apply a compressive force to the electrical conductor.

Abstract: A method for managing vulnerability data may include: (1) ingesting, by a data ingestion engine, vulnerability data from a plurality of sources; (2) normalizing, by a data normalizer module, the vulnerability data into a plurality of data records; (3) generating, by a data processing module, a dynamic risk score for each data record; (4) storing, by a risk record register, a risk record for each data record, wherein the risk record may include the dynamic risk score, a priority level, an identifier for a software application, and a software dependency; (5) selecting, by a control policy selection engine, a control policy based on one of the dynamic risk scores; (6) implementing, by the risk record register, the selected control policy; (7) monitoring, by the risk record register, implementation of the control policy; and (8) updating, by the risk record register, the control policy selection engine based on the monitoring.

Abstract: An electrical conductor assembly for use in a power distribution assembly includes an electrical conductor. A casing covers at least a portion of the electrical conductor. The casing insulates the at least a portion of the electrical conductor.

Abstract: A method for managing vulnerability data may include: (1) ingesting, by a data ingestion engine, vulnerability data from a plurality of sources; (2) normalizing, by a data normalizer module, the vulnerability data into a plurality of data records; (3) generating, by a data processing module, a dynamic risk score for each data record; (4) storing, by a risk record register, a risk record for each data record, wherein the risk record may include the dynamic risk score, a priority level, an identifier for a software application, and a software dependency; (5) selecting, by a control policy selection engine, a control policy based on one of the dynamic risk scores; (6) implementing, by the risk record register, the selected control policy; (7) monitoring, by the risk record register, implementation of the control policy; and (8) updating, by the risk record register, the control policy selection engine based on the monitoring.

Abstract: A method for managing vulnerability data may include: (1) ingesting, by a data ingestion engine, vulnerability data from a plurality of sources; (2) normalizing, by a data normalizer module, the vulnerability data into a plurality of data records; (3) generating, by a data processing module, a dynamic risk score for each data record; (4) storing, by a risk record register, a risk record for each data record, wherein the risk record may include the dynamic risk score, a priority level, an identifier for a software application, and a software dependency; (5) selecting, by a control policy selection engine, a control policy based on one of the dynamic risk scores; (6) implementing, by the risk record register, the selected control policy; (7) monitoring, by the risk record register, implementation of the control policy; and (8) updating, by the risk record register, the control policy selection engine based on the monitoring.

Abstract: Systems and methods for cybersecurity operations threat modeling are disclosed. In one embodiment, a method may include: (1) receiving threat actor data and threat actor group data; (2) processing the threat actor data and the threat actor group data; (3) for each threat actor group, generating a threat actor group profile; (4) collecting operational data from an organizational system; (5) generating a threat model by applying the threat actor group profile to the operational data; and (6) deploying at least one countermeasure to the organizational system in response to the threat model.

Abstract: A method for managing vulnerability data may include: (1) ingesting, by a data ingestion engine, vulnerability data from a plurality of sources; (2) normalizing, by a data normalizer module, the vulnerability data into a plurality of data records; (3) generating, by a data processing module, a dynamic risk score for each data record; (4) storing, by a risk record register, a risk record for each data record, wherein the risk record may include the dynamic risk score, a priority level, an identifier for a software application, and a software dependency; (5) selecting, by a control policy selection engine, a control policy based on one of the dynamic risk scores; (6) implementing, by the risk record register, the selected control policy; (7) monitoring, by the risk record register, implementation of the control policy; and (8) updating, by the risk record register, the control policy selection engine based on the monitoring.