Enterprise security measures

Patent metadata

Field	Value
Publication number	US-10084809-B1
Application number	US-201615148766-A
Country	US
Kind code	B1
Filing date	May 6, 2016
Priority date	May 6, 2016
Publication date	Sep 25, 2018
Grant date	Sep 25, 2018

Abstract

A system for managing security within an enterprise includes a computing device that receives a vulnerability, generates a user score for each user within the enterprise and generates a threat score for the vulnerability. A user device score may also be generated for each device associated with a user. Based on the user score and the threat score, a composite score is generated. After acquiring a security measure, the security measure is implemented based on the composite score and, at times, the user score.

First claim

The invention claimed is:

1. An electronic computing device comprising:
a processing unit; and
system memory, the system memory including instructions that, when executed by the processing unit, cause the electronic computing device to:
receive a vulnerability;
generate a user score for each of a plurality of users within an enterprise,
wherein the user score is generated based on a set of characteristics including: behavioral data, user device data, and user status data;

generate a threat score for the vulnerability:
based on the user score and the threat score, generate a composite score for each of the plurality of users within the enterprise;
generate a user rank using the user score generated for each of the plurality of users within the enterprise;
acquire the security patch that addresses the vulnerability; and
based on the composite score, implement a security measure across the enterprise in a sequential order according to the user rank;
wherein implementing the security measure includes publishing the security patch to the plurality of users according to the user rank.

2. The electronic computing device of claim 1 , wherein the security measure is a security patch.

3. The electronic computing device of claim 1 , wherein publishing the security patch includes sending a reminder to update after a predetermined period of time.

4. The electronic computing device of claim 3 , wherein the behavioral data include behavioral patterns and access patterns;
wherein the user device data includes at least one of: a type of a user device associated with a user and a type of processes used by the user device associated with the user; and
wherein the user status data includes at least one of: a corporate rank of the user and a system access level for the user.

5. The electronic computing device of claim 4 , wherein the behavioral patterns include at least one of the following: a browsing history of the user, a volume of junkmail, a previous computing device infection, a volume of phishing email; and
wherein the access patterns include at least one of the following: a quantity of unique devices used by the user to access enterprise-related data, and an access pattern of the user including time of day.

6. The electronic computing device of claim 1 , wherein the threat score is generated based on a third party vulnerability score and an internal vulnerability score.

7. The electronic computing device of claim 6 , wherein the third party vulnerability score is publicly available; and
wherein the internal vulnerability score is generated based on a system or a device type affected by the vulnerability.

8. The electronic computing device of claim 7 , wherein the internal vulnerability score is additionally generated based on at least one of the following: a device level importance, a regulation status, and a data sensitivity level.

9. The electronic computing device of claim 1 , wherein if a user does not perform an update with the security patch within a first predetermined time period, the system memory further includes instructions that, when executed by the processing unit, cause the electronic computing device to:
activate a security module on a user device to lock out a device capability affected by the vulnerability on the user device.

10. The electronic computing device of claim 9 , wherein if the user does not perform the update with the security patch within a second predetermined time period, the system memory further includes instructions that, when executed by the processing unit, cause the electronic computing device to:
deactivate a user's access to data within the enterprise.

11. A computer-implemented method, comprising:
receiving a vulnerability;
generating a user score for each of a plurality of users within an enterprise;
generating a threat score for the vulnerability,
wherein the threat score is generated based on a third party vulnerability score and an internal vulnerability score;

based on the user score and the threat score, generating a composite score;
generating a user rank using the user score generated for each of the plurality of users, the user rank being generated for each of the plurality of users within the enterprise;
receiving a security measure; and
based on the composite score and the user rank, implementing the security measure across the enterprise in a sequential order according to the user rank,
wherein implementing the security measure includes publishing a security patch to the plurality of users according to the user rank.

12. The method of claim 11 , wherein the security measure is a patch or an update.

13. The method of claim 12 , wherein the user score is generated based on a set of characteristics including: behavioral data, user device data, and user status data.

14. The method of claim 13 , wherein the behavioral data include behavioral patterns and access patterns;
wherein the user device data includes at least one of: a type of a user device associated with a user and a type of processes used by the user device associated with the user;
wherein the user status data includes at least one of: a corporate rank of the user and a system access level for the user;
wherein the behavioral patterns include at least one of the following: a browsing history of the user, a volume of junkmail, a previous computing device infection, a volume of phishing email; and
wherein the access patterns include at least one of the following: a quantity of unique devices used by the user to access enterprise-related data, and an access pattern of the user including time of day.

15. The method of claim 14 , wherein the third party vulnerability score is publicly available; and
wherein the internal vulnerability score is generated based on an enterprise device report, the enterprise device report including a system or a device affected by the vulnerability.

16. The method of claim 15 , wherein the internal vulnerability score is additionally generated based on at least one of the following: a device level importance, a regulation status, an internally- versus externally-facing status, and a data sensitivity level;
wherein if the user does not install the patch or the update within a first predetermined time period, activating a security module on the user device to lock out the vulnerability on the user device; and
wherein if the user does not install the patch or the update within a second predetermined time period, deactivating a user access to data within the enterprise.

17. A system for managing security within an enterprise, comprising:
a computer-readable, non-transitory data storage memory comprising instructions that, when executed by a processing unit of an electronic computing device, cause the processing unit to:
receive a vulnerability;
generate a user device score for each of a plurality of user devices within the enterprise based on user device data,
wherein the user device data includes at least one of: a type of a user device and a type of data processes used by the user device;

generate a threat score for the vulnerability, wherein the threat score is generated based on a third party vulnerability score and an internal vulnerability score;
based on the user device score and the threat score, generate a composite score;
generate a user score for each of a plurality of users within the enterprise,
wherein the user score is generated based on a set of characteristics including: behavioral data and user status data;
wherein the behavioral data include behavioral patterns and access patte

Assignees

• Wells Fargo Bank Na

Inventors

• Rambo Douglas C
• Trudeau Steven M
• Hughes Titanya
• Colehouse Michael
• Calabro Timothy J
• Nguyen Vincent N
• Brenden Ben D

Classifications

• G06F21/577

  Assessing vulnerabilities and evaluating computer system security · CPC title

• H04L63/1433 Primary

  Vulnerability analysis · CPC title

• H04L63/1441

  Countermeasures against malicious traffic (countermeasures against attacks on cryptographic mechanisms H04L9/002) · CPC title

• G06F8/65

  Updates (security arrangements therefor G06F21/57) · CPC title

• G06F21/50

  Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems · CPC title