Abstract: Embodiments of the present disclosure relate to generating a high level security policy for a data repository without knowledge of the access control, entitlement, and other models of the data repository. A set of abstractions that define a security policy language may be generated based on data in a data repository collection. The set of abstractions may define a security policy language, which may be provided to a security administrator who can define a security policy with the security policy language. The security policy may be translated into a common physical language to generate a common physical policy. The processing device may then translate the common physical policy into a set of commands for each of one or more data repositories that the data repository collection is comprised of.

Abstract: Embodiments of the present disclosure relate to utilizing an existing login process of a data repository to enable the data repository to delegate MFA functionality to an external MFA system. When a purported user attempts to log in to the data repository, a delegation module within the login process may insert a record into a table associated with the login process. A program executing on a security device external to the data repository may periodically poll the table for new records and upon detecting the new record, may call the external MFA system to verify the login attempt. The external MFA system may indicate to the program whether the login attempt was verified and the program may update the table with the indication. Upon detecting the indication, the delegation module may complete or terminate the login attempt based on the indication.

Abstract: Embodiments of the present disclosure relate to generating a high level security policy for a data repository without knowledge of the access control, entitlement, and other models of the data repository. A set of abstractions that define a security policy language may be generated based on data in a data repository collection. The set of abstractions may define a security policy language, which may be provided to a security administrator who can define a security policy with the security policy language. The security policy may be translated into a common physical language to generate a common physical policy. The processing device may then translate the common physical policy into a set of commands for each of one or more data repositories that the data repository collection is comprised of.

Abstract: Embodiments of the present invention may provide the capability to identify security breaches in computer systems from clustering properties of clusters generated based on monitored behavior of users of the computer systems by using techniques that provide improved performance and reduced resource requirements. For example, behavior of users or resources may be monitored and analyzed to generate clusters and train clustering models. Labeling information relating to some user or resource may be received. When users or resources are clustered and when a cluster contains some labeled users/resources then an anomaly score can be determined for a user/resource belonging to the cluster. A user or resource may be detected to be an outlier of at least one cluster to which the user or resource has been assigned, and an alert indicating detection of the outlier may be generated.

Abstract: In some examples, a system for detecting unauthorized data access can include a processor to detect a suspicious operation to be executed by the system and review a plurality of highlights corresponding to the suspicious operation. The processor can also determine that a predefined cyber security image corresponding to the highlights and the suspicious operation does not exist and generate the predefined cyber security image based on a plurality of sub-cyber security images. Furthermore, the processor can store the predefined cyber security image in a cyber security image repository and prevent the suspicious operation from being executed.

Abstract: A system for detecting cyber security events can include a processor to generate a first set of a plurality of time series and aggregate statistics based on a plurality of properties corresponding to user actions for each user in a set of users. The processor can also separate the set of users into a plurality of clusters based on the first set of the plurality of time series or aggregate statistics for each user and assign an identifier to each of the plurality of clusters. Additionally, the processor can generate a second set of a plurality of time series based on properties of the plurality of clusters, wherein the properties of a cluster correspond to a membership, a diameter, and a centroid and detect an anomaly based on a new value stored in the second set of the time series. Furthermore, the processor can execute a prevention instruction.

Abstract: A system for detecting cyber security events can include a processor to generate a first set of a plurality of time series and aggregate statistics based on a plurality of properties corresponding to user actions for each user in a set of users. The processor can also separate the set of users into a plurality of clusters based on the first set of the plurality of time series or aggregate statistics for each user and assign an identifier to each of the plurality of clusters. Additionally, the processor can generate a second set of a plurality of time series based on properties of the plurality of clusters, wherein the properties of a cluster correspond to a membership, a diameter, and a centroid and detect an anomaly based on a new value stored in the second set of the time series. Furthermore, the processor can execute a prevention instruction.

Abstract: In some examples, a system for detecting unauthorized data access can include a processor to detect a suspicious operation to be executed by the system and review a plurality of highlights corresponding to the suspicious operation. The processor can also determine that a predefined cyber security image corresponding to the highlights and the suspicious operation does not exist and generate the predefined cyber security image based on a plurality of sub-cyber security images. Furthermore, the processor can store the predefined cyber security image in a cyber security image repository and prevent the suspicious operation from being executed.

Abstract: Embodiments of the present invention may provide the capability to identify security breaches in computer systems from clustering properties of clusters generated based on monitored behavior of users of the computer systems by using techniques that provide improved performance and reduced resource requirements. For example, behavior of users or resources may be monitored and analyzed to generate clusters and train clustering models. Labeling information relating to some user or resource may be received. When users or resources are clustered and when a cluster contains some labeled users/resources then an anomaly score can be determined for a user/resource belonging to the cluster. A user or resource may be detected to be an outlier of at least one cluster to which the user or resource has been assigned, and an alert indicating detection of the outlier may be generated.

Abstract: A system for defining communities and matching users into said communities, said matched users thereby gaining access to one or more elements associated with said communities; the system comprising a host connected to a network being for communication with a plurality of users, said host being configured for: creating at least one community by defining attributes for each of said communities; and defining one or more elements associated with each of said communities; and assigning attributes to a user, said attributes extracted from information associated with the user; and matching said attributes of at least one user to attributes of at least one community; assigning said user to said community based on the result of said matching; said user thereby gaining access to at least one element associated with said community.