AUTOMATIC DETECTION OF NON-COMPLIANT CONTENT IN USER ACTIONS

• US 20120324531A1
• Filed: 08/29/2012
• Published: 12/20/2012
• Est. Priority Date: 03/21/2011
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bhamidipaty, Anuradha, Verma, Anubha
• Application Number:
  US13/597,625
• Publication Number:
  US 20120324531A1
• Time in Patent Office: Days
• US Class Current: 726/1
• CPC Class Codes: H04L 63/0209 Architectural arrangements, e.g. perimeter networks or demilitarized zones
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources
• CPC Class Codes: H04L 63/1408 by monitoring network traffic monitoring network traffic per se H04L43/00

Abstract

Described herein are methods, systems, apparatuses and products for automatic detection of non-compliant content in user actions. An aspect provides a method including, responsive to receiving a user selection to share data via an electronic device, analyzing the data to be shared; and automatically identifying non-compliant content within the data prior to sharing the data. Other embodiments are disclosed.

Claims

1. A method comprising:

responsive to receiving a user selection to share data via an electronic device, analyzing the data to be shared; and

automatically identifying non-compliant content within the data prior to sharing the data.

2. The method according to claim 1, further comprising providing at least one recommendation for modifying the data prior to sharing the data.

3. The method according to claim 2, wherein modifying the data prior to sharing the data comprises at least one of:

masking the non-compliant content within the data, removing the non-compliant content within the data, and augmenting the data with a privacy note.

4. The method according to claim 1, further comprising using historical data to establish content defined as non-compliant content.

5. The method according to claim 1, further comprising using historical data to establish at least one recommendation for modifying the data prior to sharing the data.

6. The method according to claim 2, further comprising validating that the at least one recommendation complies with a policy associated with at least one type of non-compliant content contained within the data.

7. The method according to claim 1, further comprising automatically modifying the data to conform the data to at least one policy.

8. The method according to claim 7, wherein modifying the data to conform the data to at least one policy comprises at least one of:

masking the non-compliant content within the data, removing the non-compliant content within the data, and augmenting the data with a privacy note.

9. The method according to claim 1, further comprising sharing the data according to the user selection responsive to modifying the non-compliant content within the data.

10. The method according to claim 1, further comprising ascertaining feedback on a user action performed after the non-compliant content has been identified.

11. The method according to claim 10, further comprising using the feedback to provide at least one recommendation for modifying similar data prior to sharing the similar data.

12. The method according to claim 1, wherein:

the data comprises an electronic document;

the non-compliant data comprises confidential information embedded within the electronic document; and

sharing comprises at least one of live sharing, printing, displaying, projecting, e-mailing, and instant messaging.