Abstract: A system determines baseline deployment properties of operating system deployments stored by a deployment repository and endpoint deployment properties of a deployed operating system executed by an endpoint device. An artificial intelligence model is configured to determine a security response based at least in part on the endpoint deployment properties of the endpoint device. By providing the endpoint deployment properties to the artificial intelligence model, a mismatch value is determined that corresponds to an amount that the endpoint deployment properties are different than the baseline deployment properties. Based on the mismatch value, an action is determined to improve security of the deployed operating system executed by the endpoint device. The determined action is executed to improve security of the deployed operating system.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for utilizing machine learning to predict future deceitful domain names and determine preferred security responses. As such, the system allows for use of a machine learning engine to collect new domain name registration information from a plurality of sources and predict future name registrations associated with said sources. A single user may register deceitful domain names through a plurality of domain name registration systems. By collecting data from multiple servers, the system may identify data trends and generate predictions of future domain names independently of any individual server. Thus, the system may benefit a number of entities, by providing real-time data analysis that would not be obtainable by any one entity operating alone.

Abstract: A system determines baseline deployment properties of operating system deployments stored by a deployment repository and endpoint deployment properties of a deployed operating system executed by an endpoint device. An artificial intelligence model is configured to determine a security response based at least in part on the endpoint deployment properties of the endpoint device. By providing the endpoint deployment properties to the artificial intelligence model, a mismatch value is determined that corresponds to an amount that the endpoint deployment properties are different than the baseline deployment properties. Based on the mismatch value, an action is determined to improve security of the deployed operating system executed by the endpoint device. The determined action is executed to improve security of the deployed operating system.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for automated collection of user-specified forensic data from a target computer associated with a case. In particular, embodiments herein disclosed provide for a system that is configured to provide a user interface to allow a user to select a target computer within a network, select one or more user profiles associated with the target computer, and specify one or more types of forensic data to be collected from the target computer. The system is also configured to create a subfolder in a folder linked to the case and one or more files in the subfolder for storing the user-specified data; connect the computer apparatus to the target computer; and collect the specified data and save the collected data to the files.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for automated collection of user-specified forensic data from a target computer associated with a case. In particular, embodiments herein disclosed provide for a system that is configured to provide a user interface to allow a user to select a target computer within a network, select one or more user profiles associated with the target computer, and specify one or more types of forensic data to be collected from the target computer. The system is also configured to create a subfolder in a folder linked to the case and one or more files in the subfolder for storing the user-specified data; connect the computer apparatus to the target computer; and collect the specified data and save the collected data to the files.