Abstract: A machine learning model is trained using tuples that identify an actor, a resource, and a rating based on a normalized count of the actor's attempts to access the resource. Actors may be users, groups, IP addresses, or otherwise defined. Resources may be storage, virtual machines, APIs, or otherwise defined. A risk assessor code feeds an actor-resource pair to the trained model, which computes a recommendation score using collaborative filtering. The risk assessor inverts the recommendation score to obtain a risk measurement; a low recommendation score corresponds to a high risk, and vice versa. The risk assessor code or other code takes cybersecurity action based on the recommendation score. Code may accept a risk R, or aid mitigation of the risk R, where R denotes a risk that the scored pair represents an unauthorized attempt by the pair actor to access the pair resource.

Abstract: Cybersecurity peer identification (CPI) technology obtains security group definitions from an identity directory, computes peerSimilarityScores that represent user similarity in terms of security permissions, and submits contextual cybersecurity peer data to cybersecurity peer-based functionality (CPBF). CPBF code may then perform behavior analytics, resource management, permissions management, or location management. Cyberattacks may then be disrupted or mitigated, and inefficiencies may be avoided or decreased. Having smaller security groups in common gives users higher peerSimilarityScores than having larger groups in common, as a result of logarithmic, reciprocal, or other score functions. Security group definitions are refreshed and peer scores are updated at regular intervals or on demand by CPI code, to avoid staleness.

Abstract: Techniques for user impact potential based security alert management in computer systems are disclosed. One example technique includes receiving an alert indicating that a security rule has been violated by a user. The example technique can also include, in response to receiving the data representing the alert, determining an impact score of the user based on the profile of the user. The impact score represents a deviation of an assigned value to the profile of the user and a mean value of assigned values of profiles of all users in the organization. The example technique can further include calculating a ranking value of the alert in relation to other alerts based on the determine impact score and other impacts scores corresponding to the other alerts and selectively surfacing the alert to a system analyst based on the calculated ranking value in relation to other alerts.

Abstract: A machine learning model is trained using tuples that identify an actor, a resource, and a rating based on a normalized count of the actor's attempts to access the resource. Actors may be users, groups, IP addresses, or otherwise defined. Resources may be storage, virtual machines, APIs, or otherwise defined. A risk assessor code feeds an actor—resource pair to the trained model, which computes a recommendation score using collaborative filtering. The risk assessor inverts the recommendation score to obtain a risk measurement; a low recommendation score corresponds to a high risk, and vice versa. The risk assessor code or other code takes cybersecurity action based on the recommendation score. Code may accept a risk R, or aid mitigation of the risk R, where R denotes a risk that the scored pair represents an unauthorized attempt by the pair actor to access the pair resource.

Abstract: Cybersecurity peer identification (CPI) technology obtains security group definitions from an identity directory, computes peerSimilarityScores that represent user similarity in terms of security permissions, and submits contextual cybersecurity peer data to cybersecurity peer-based functionality (CPBF). CPBF code may then perform behavior analytics, resource management, permissions management, or location management. Cyberattacks may then be disrupted or mitigated, and inefficiencies may be avoided or decreased. Having smaller security groups in common gives users higher peerSimilarityScores than having larger groups in common, as a result of logarithmic, reciprocal, or other score functions. Security group definitions are refreshed and peer scores are updated at regular intervals or on demand by CPI code, to avoid staleness.

Abstract: A tailsitter aircraft includes one or more rotatable wings. The tailsitter aircraft optionally includes a fuselage from which wing supports extend. Each rotatable wing optionally includes a rotatable wing section having an inboard portion proximate to the fuselage, and an outboard portion distal from the fuselage. The rotatable wing section may be rotatably attached to the wing support and configured to rotate between a vertical flight configuration in which the inboard portion is positioned on an opposing side of the wing support relative to the outboard portion, and a horizontal flight configuration different from the vertical flight configuration. The wings may be rotated during flight to transition between horizontal and vertical flight configurations, and they may be rotated about multiple axes.

Abstract: A tailsitter aircraft includes one or more rotatable wings. The tailsitter aircraft optionally includes a fuselage from which wing supports extend. Each rotatable wing optionally includes a rotatable wing section having an inboard portion proximate to the fuselage, and an outboard portion distal from the fuselage. The rotatable wing section may be rotatably attached to the wing support and configured to rotate between a vertical flight configuration in which the inboard portion is positioned on an opposing side of the wing support relative to the outboard portion, and a horizontal flight configuration different from the vertical flight configuration. The wings may be rotated during flight to transition between horizontal and vertical flight configurations, and they may be rotated about multiple axes.

Abstract: A tailsitter aircraft includes one or more rotatable wings. The tailsitter aircraft optionally includes a fuselage from which wing supports extend. Each rotatable wing optionally includes a rotatable wing section having an inboard portion proximate to the fuselage, and an outboard portion distal from the fuselage. The rotatable wing section may be rotatably attached to the wing support and configured to rotate between a vertical flight configuration in which the inboard portion is positioned on an opposing side of the wing support relative to the outboard portion, and a horizontal flight configuration different from the vertical flight configuration. The wings may be rotated during flight to transition between horizontal and vertical flight configurations, and they may be rotated about multiple axes.

Abstract: A tailsitter aircraft includes one or more rotatable wings. The tailsitter aircraft optionally includes a fuselage from which wing supports extend. Each rotatable wing optionally includes a rotatable wing section having an inboard portion proximate to the fuselage, and an outboard portion distal from the fuselage. The rotatable wing section may be rotatably attached to the wing support and configured to rotate between a vertical flight configuration in which the inboard portion is positioned on an opposing side of the wing support relative to the outboard portion, and a horizontal flight configuration different from the vertical flight configuration. The wings may be rotated during flight to transition between horizontal and vertical flight configurations, and they may be rotated about multiple axes.