Method and system for forensic data tracking
The present invention relates to a method and system for tracking the movement of data elements as they are shared and moved between authorized and unauthorized devices and among authorized and unauthorized users.
1. A computing system comprising one or more network devices, the one or more network devices comprising one or more microprocessors and one or more memories that store executable instructions that, when executed by the one or more microprocessors, facilitate performance of operations, comprising:
receiving meta data associated with an electronic file stored at an endpoint, the meta data comprising:
one or more of a file name associated with the electronic file, a creation date on which the electronic file was created, a modification date on which the electronic file was modified, one or more data element tags, and
an endpoint identifier that is indicative of the endpoint on which the electronic file is stored;
analyzing the meta data based on one or more of a configured setting and a policy;
determining, based on the analyzing of the meta data, a pattern of data use that constitutes a deviation from normal behavior, wherein the deviation from normal behavior is determined based on a detected significant number of new electronic files related to historical behavior for one or more of a user, a set of users, and the endpoint; and
in response to determining the deviation from normal behavior, performing one or more responsive actions.
2. The system of claim 1 , wherein the one or more data element tags are capable of being used to determine a data classification associated with the electronic file.
3. The system of claim 1 , wherein the one or more data element tags are indicative of a type of data included within the electronic file and wherein the deviation from normal behavior is based at least in part on the type of data included within the electronic file.
4. The system of claim 1 , wherein the configured setting is stored in a settings database, and the configured setting is used to determine the significant number of new electronic files to control user authorization to download data and user authorization to share data using the computing system.
5. The system of claim 4 , wherein the significant number of new electronic files is determined as a number of new electronic files that exceeds a predetermined threshold set for the user, the set of users, or the endpoint.
6. The system of claim 2 , wherein the data classification is usable to determine, based on the one or more of the configured setting and policy, whether the electronic file is unauthorized.
7. The system of claim 1 , wherein the policy comprises one or more of a standard policy, a customized policy, a data protection policy, a policy unique to an enterprise, and a foreign jurisdiction policy.
8. The system of claim 1 , wherein the one or more responsive actions comprises one or more of reporting, alerting, redacting, deleting, encrypting, and archiving the electronic file.
9. The system of claim 1 , further comprising determining that the electronic file is unauthorized based on the one or more of the configured setting and policy.
10. The system of claim 9 , wherein the determining that the electronic file is unauthorized comprises determining that the electronic file is located at an unauthorized device.
11. The system of claim 9 , wherein the determining that the electronic file is unauthorized comprises determining that the electronic file is unauthorized for downloading by a user.
12. The system of claim 9 , wherein the determining that the electronic file is unauthorized comprises determining that the electronic file is unauthorized for sharing by a user.
13. The system of claim 5 , wherein the detected significant number of new electronic files is based at least in part on a number of electronic files accessed.
14. The system of claim 5 , wherein the detected significant number of new electronic files is based at least in part on a number of electronic files downloaded.
15. The system of claim 5 , wherein the detected significant number of new electronic files is based at least in part on a number of electronic files shared.
16. The system of claim 1 , wherein the meta data associated with the electronic file further comprises a user identifier and wherein the deviation from normal behavior is related to a spike in activity for the user.
17. The system of claim 1 , wherein the one or more of a configured setting and a policy is associated with one or more of a user, a set of users, and the endpoint.
18. The system of claim 1 , wherein the meta data associated with the electronic file further comprises an IP address and wherein the deviation from normal behavior is further determined based on a detected volume of activity that deviates from an average volume of activity for the IP address.
19. A method related to computing forensics, the method comprising:
transmitting machine-executable instructions to one or more network devices comprising one or more processors and one or more memories, wherein the machine-executable instructions are stored in the one or more memories, and wherein the machine-executable instructions when executed by the one or more processors enable the one or more network devices to:
receive meta data associated with an electronic file stored at an endpoint, the meta data comprising:
one or more of a file name of the electronic file, a creation date on which the electronic file was created, a modification date on which the electronic file was modified, a data element tag, and
an endpoint identifier that is usable to identify the endpoint on which the electronic file is stored;
analyze the meta data based on one or more of a configured setting and a policy;
determine a pattern of data activity that constitutes a deviation from a normal pattern of data activity, wherein the deviation from the normal pattern of data activity is determined by detecting a significant number of new electronic files compared to historical activity for one or more of a user, a set of users, and the endpoint; and
perform one or more responsive actions related to determining the pattern of data activity that constitutes the deviation from the normal pattern of data activity.
20. The method of claim 19 , wherein the significant number of new electronic files is determined to exceed an average number of files received or exceed a predetermined threshold of total electronic files related to one or more of the user, the set of users, and the endpoint.
21. The method of claim 19 , wherein the data element tag is used to determine a data classification associated with the electronic file.
22. The method of claim 19 , wherein the data element tag is indicative of a type of data included within the electronic file.
23. The method of claim 19 , wherein the configured setting relates to a configured threshold for user authorization to access the electronic file.
24. The method of claim 19 , wherein the configured setting relates to a configured threshold for user authorization to upload or download the electronic file.
25. The method of claim 19 , wherein the configured setting relates to a configured threshold for user authorization to share the electronic file.
26. The method of claim 19 , wherein the one or more responsive actions comprises one or more of a redaction of the electronic file, a deletion of the electronic file, an encryption of the electronic file, and sending an alert regarding the deviation from normal behavior.
27. The method of claim 19 , wherein the one or more responsive actions comprises predicting data breaches based on changes in data topology at the endpoint, wherein the change in data topology reflects the deviation from normal behavior.
28. The method of claim 27 , wherein the changes in data topology reflect that data of a specific data classification leaked onto the endpoint.
29. The method of claim 19 , wherein the pattern of data activity that constitutes the deviation from the normal pattern of data activity is based at least in part on one or more of a number of electronic files downloaded to or from the endpoint, a number of electronic file access attempts, and a number of classified electronic files discovered on the endpoint.
30. The method of claim 26 , wherein the alert may be generated based on an anomaly wherein a user has sent or received a number of electronic files that exceeds the average number of electronic files sent or received by the user or exceeds a preestablished threshold of total electronic files sent or received.