USER BEHAVIORAL RISK ASSESSMENT

• US 20160373477A1
• Filed: 08/31/2016
• Published: 12/22/2016
• Est. Priority Date: 10/18/2011
• Status: Active Grant

• Current Assignee: Musarubra US LLC (Musarubra US SellCo LLC)
• Original Assignee: McAfee, Inc. (McAfee, LLC)
• Inventors: Moyle, Michael Mason, Basavapatna, Prasanna Ganapathi, Schrecker, Sven
• Granted Patent: US 10,505,965 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 21/552 involving long-term monitoring or reporting
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection
• CPC Class Codes: H04L 63/1425 Traffic logging, e.g. anomaly detection
• CPC Class Codes: H04L 63/1433 Vulnerability analysis
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227

Abstract

A particular activity performed by a particular user of a computing device is identified, for instance, by an agent installed on the computing device. It is determined that the particular activity qualifies as a particular use violation in a plurality of pre-defined use violations. A behavioral risk score for the particular score for the user is determined based at least in part on the determination that the particular activity of the particular user qualifies as a particular use violation. Determining that the particular activity qualifies as a particular use violation can include determining that the particular activity violates a particular rule or event trigger corresponding to a particular pre-defined use violation.

Claims

1-25. -25. (canceled)

26. At least one non-transitory machine accessible storage medium having instructions stored thereon, the instructions when executed on a machine, cause the machine to:

develop a behavioral profile associated with a particular user to characterize the user'"'"'s behavior;

analyze data from a computing device, wherein the data describes;

at least one of a plurality of activities by the particular user at the computing device, and

at least one identifier associated with the computing device, wherein the at least one identifier comprises one or more of a MAC address or an IP address;

detect that the data indicates a security threat, based at least in part on a determination that the data indicates a deviation from the behavior of the behavioral profile; and

initiate one or more countermeasures to attempt to mitigate against the security threat.

27. The storage medium of claim 26, wherein the instructions, when executed, further cause the machine to:

determine an association between the computing device and the particular user; and

associate the behavioral profile with the data received from the computing device based on the association.

28. The storage medium of claim 26, wherein the one or more countermeasures restrict access by the computing device to one or more computing resources.

29. The storage medium of claim 28, wherein the one or more countermeasures restrict network access by the computing device.

30. The storage medium of claim 29, wherein the one or more countermeasures comprise a web gateway.

31. The storage medium of claim 29, wherein the one or more countermeasures comprise a firewall.

32. The storage medium of claim 28, wherein the computing resources comprise one or more files.

33. The storage medium of claim 28, wherein the one or more countermeasures disable the computing device.

34. The storage medium of claim 28, wherein the one or more countermeasures require reauthentication of the computing device to allow access to the one or more computing resources.

35. The storage medium of claim 26, wherein the plurality of activities comprise an authentication action performed at the computing device.

36. The storage medium of claim 35, wherein the behavioral profile is based on one or more authentication actions performed by the particular user.

37. The storage medium of claim 26, wherein the behavioral profile is based at least in part on email use of the particular user.

38. The storage medium of claim 26, wherein the behavioral profile is based at least in part on online activities performed by the particular user.

39. The storage medium of claim 26, wherein the behavioral profile is based at least in part on compliance, by the particular user, with a set of security policies.

40. The storage medium of claim 39, wherein the set of security policies comprise policies of a particular organization.

41. The storage medium of claim 26, wherein the instructions, when executed, further cause the machine to:

determine, from the data, that a particular one of a plurality of predefined use violations has been performed at the computing device.

42. The storage medium of claim 41, wherein the data indicates detection of the particular predefined use violation by the computing device.

43. The storage medium of claim 41, wherein detecting that the data indicates the security threat is further based on the particular predefined use violation.

44. A method comprising:

developing a behavioral profile associated with a particular user to characterize the user'"'"'s behavior;

analyzing data from a computing device, wherein the data describes;

at least one of a plurality of activities by the particular user at the computing device, and

at least one identifier associated with the computing device, wherein the at least one identifier comprises one or more of a MAC address or an IP address;

detecting that the data indicates a security threat, based at least in part on a determination that the data indicates a deviation from the behavior of the behavioral profile; and

initiating one or more countermeasures to attempt to mitigate against the security threat.

45. A system comprising:

at least one processor;

at least one memory;

a risk engine, executable by the at least one processor, to;

develop a behavioral profile associated with a particular user to characterize the user'"'"'s behavior;

analyze data from a computing device, wherein the data describes;

at least one of a plurality of activities by the particular user at the computing device, and

at least one identifier associated with the computing device, wherein the at least one identifier comprises one or more of a MAC address or an IP address;

detect that the data indicates a security threat, based at least in part on a determination that the data indicates a deviation from the behavior of the behavioral profile; and

initiate performance of one or more security activities to attempt to mitigate against the security threat.

46. The system of claim 45, wherein the one or more security activities comprise forcing forced re-authentication of the computing device.

47. The system of claim 45, further comprising one or more security tools, wherein the risk engine is executable to invoke the security tools to perform the one or more security activities.

48. The system of claim 47, wherein at least a portion of the one or more security tools are hosted on the computing device and another portion of the one or more security tools are hosted remote from the computing device.