Abstract: A method and apparatus for controlling document access and application usage using centrally managed rules. The rules are stored and manipulated in a central rule database via a rule server. Policy enforcers are installed on client systems and/or on servers and perform document access and application usage control for both direct user document accesses and application usage, and application program document accesses by evaluating the rules sent to the policy enforcer. The rule server decides which rules are required by each policy enforcer. A policy enforcer can also perform obligation and remediation operations as a part of rule evaluation. Policy enforcers on client systems and servers can operate autonomously, evaluating policies that have been received, when communications have been discontinued with the rule server.

Abstract: A method and apparatus for controlling document access and application usage using centrally managed rules. The rules are stored and manipulated in a central rule database via a rule server. Policy enforcers are installed on client systems and/or on servers and perform document access and application usage control for both direct user document accesses and application usage, and application program document accesses by evaluating the rules sent to the policy enforcer. The rule server decides which rules are required by each policy enforcer. A policy enforcer can also perform obligation and remediation operations as a part of rule evaluation. Policy enforcers on client systems and servers can operate autonomously, evaluating policies that have been received, when communications have been discontinued with the rule server.

Abstract: A method and apparatus for controlling document access and application usage using centrally managed rules. The rules are stored and manipulated in a central rule database via a rule server. Policy enforcers are installed on client systems and/or on servers and perform document access and application usage control for both direct user document accesses and application usage, and application program document accesses by evaluating the rules sent to the policy enforcer. The rule server decides which rules are required by each policy enforcer. A policy enforcer can also perform obligation and remediation operations as a part of rule evaluation. Policy enforcers on client systems and servers can operate autonomously, evaluating policies that have been received, when communications have been discontinued with the rule server.

Abstract: In an information management system, policies are deployed to targets and targets can evaluate the policies whether they are connected or disconnected to the system. The policies may be transferred to the target, which may be a device or user. Relevant policies may be transferred while not relevant policies are not. The policies may have policy abstractions.

Abstract: A method and apparatus for controlling document access and application usage using centrally managed rules. The rules are stored and manipulated in a central rule database via a rule server. Policy enforcers are installed on client systems and/or on servers and perform document access and application usage control for both direct user document accesses and application usage, and application program document accesses by evaluating the rules sent to the policy enforcer. The rule server decides which rules are required by each policy enforcer. A policy enforcer can also perform obligation and remediation operations as a part of rule evaluation. Policy enforcers on client systems and servers can operate autonomously, evaluating policies that have been received, when communications have been discontinued with the rule server.

Abstract: A technique and system protects documents at rest and in motion using declarative policies and encryption. Encryption in the system is provided transparently and can work in conjunction with policy enforcers installed at a system. A system can protect information or documents from: (i) insider theft; (ii) ensure confidentiality; and (iii) prevent data loss, while enabling collaboration both inside and outside of a company.

Abstract: A method and apparatus for controlling document access and application usage using centrally managed rules. The rules are stored and manipulated in a central rule database via a rule server. Policy enforcers are installed on client systems and/or on servers and perform document access and application usage control for both direct user document accesses and application usage, and application program document accesses by evaluating the rules sent to the policy enforcer. The rule server decides which rules are required by each policy enforcer. A policy enforcer can also perform obligation and remediation operations as a part of rule evaluation. Policy enforcers on client systems and servers can operate autonomously, evaluating policies that have been received, when communications have been discontinued with the rule server.

Abstract: Activity data is analyzed or evaluated to detect behavioral patterns and anomalies. When a particular pattern or anomaly is detected, a system may send a notification or perform a particular task. This activity data may be collected in an information management system, which may be policy based. Notification may be by way e-mail, report, pop-up message, or system message. Some tasks to perform upon detection may include implementing a policy in the information management system, disallowing a user from connecting to the system, and restricting a user from being allowed to perform certain actions. To detect a pattern, activity data may be compared to a previously defined or generated activity profile.

Abstract: In an information management system, activity data is collected and analyzed for patterns. The information management system may be policy based. Activity data may be organized as entries including information on user, application, machine, action, object or document, time, and location. When checking for patterns in the activity or historical data, techniques may include inferencing, frequency checking, location and distance checking, and relationship checking, and any combination of these. Analyzing the activity data may include comparing like types or categories of information for two or more entries.

Abstract: Activity data is analyzed or evaluated to detect behavioral patterns and anomalies. When a particular pattern or anomaly is detected, a system may send a notification or perform a particular task. This activity data may be collected in an information management system, which may be policy based. Notification may be by way e-mail, report, pop-up message, or system message. Some tasks to perform upon detection may include implementing a policy in the information management system, disallowing a user from connecting to the system, and restricting a user from being allowed to perform certain actions. To detect a pattern, activity data may be compared to a previously defined or generated activity profile.

Abstract: In an information management system, relevant policies are deployed to targets while policies which are not relevant are not. By deploying relevant policies, this reduces the amount of space requirements at the target to store the policies and the amount of data that needs to be sent to the target. Also, execution speed at the target may increase since the target does not need to evaluate policies that are not relevant.

Abstract: In an information management system, activity data is collected and analyzed for patterns. The information management system may be policy based. Activity data may be organized as entries including information on user, application, machine, action, object or document, time, and location. When checking for patterns in the activity or historical data, techniques may include inferencing, frequency checking, location and distance checking, and relationship checking, and any combination of these. Analyzing the activity data may include comparing like types or categories of information for two or more entries.

Abstract: Code is associated to a target based on an inspection of the code. A target may be a device or a user. A number of code components may be inspected at one time and then transferred or otherwise associated to a target based on the target's profile. A code component may be a policy of an information management system.

Abstract: In an information management system, policies are optimized before they are associated to a device in order to increase evaluation speed or reduce space requirements, or both. Optimization techniques may include common subexpression elimination, constant folding, constant propagation, comparison optimization, dead code or subexpression removal, map or lookup table generation, policy rewriting, redundant policy elimination, heuristic-based policy ordering, or policy-format transformation, and combinations of these.

Abstract: In an information management system, relevant policies are deployed to targets while policies which are not relevant are not. By deploying relevant policies, this reduces the amount of space requirements at the target to store the policies and the amount of data that needs to be sent to the target. Also, execution speed at the target may increase since the target does not need to evaluate policies that are not relevant.

Abstract: Code is associated to a target based on an inspection of the code. A target may be a device or a user. A number of code components may be inspected at one time and then transferred or otherwise associated to a target based on the target's profile. A code component may be a policy of an information management system.

Abstract: In an information management system, policies are optimized before they are associated to a device in order to increase evaluation speed or reduce space requirements, or both. Optimization techniques may include common subexpression elimination, constant folding, constant propagation, comparison optimization, dead code or subexpression removal, map or lookup table generation, policy rewriting, redundant policy elimination, heuristic-based policy ordering, or policy-format transformation, and combinations of these.

Abstract: A system protects documents at rest and in motion using declarative policies and encryption. A document at rest includes documents on a device such as the hard drive of a computer. A document in motion is a document that is passing through a policy enforcement point. The policy enforcement point can be a server (e.g., mail server, instant messenger server, file server, or network connection server).

Abstract: To prevent conflicts of interest, an information management system is used to make sure two or more groups are kept apart so that information does not circulate freely between these groups. The system has policies to implement an “ethical wall” to separate users or groups of users. The user or groups of user may be organized in any arbitrary way, and may be in the same organization or different organizations. The two groups (or two or more users) will not be able to access information belonging to the other, and users in one group may not be able to pass information to the other group. The system may manage access to documents, e-mail, files, and other forms of information.

Abstract: A method and apparatus for controlling document access and application usage using centrally managed rules. The rules are stored and manipulated in a central rule database via a rule server. Policy enforcers are installed on client systems and/or on servers and perform document access and application usage control for both direct user document accesses and application usage, and application program document accesses by evaluating the rules sent to the policy enforcer. The rule server decides which rules are required by each policy enforcer. A policy enforcer can also perform obligation and remediation operations as a part of rule evaluation. Policy enforcers on client systems and servers can operate autonomously, evaluating policies that have been received, when communications have been discontinued with the rule server.