IP Library Granted Patent US 10,122,747
Granted Patent B2
US 10,122,747 · App. 15/660,864 · Granted Nov 6, 2018

Response generation after distributed monitoring and evaluation of multiple devices

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,122,747
App. No.
15/660,864
Granted
Nov 6, 2018
Kind
B2
Abstract

Data is collected from a set of devices according to a data collection policy. The data is associated with device configuration, device state, or device behavior. A norm is established using the collected data. A different data collection policy is established based on the norm. Data is collected from a particular device according to the different data collection policy. The norm is compared to the data collected from the particular device. If there is a deviation outside of a threshold deviation between the norm and the data collected from the particular device, a response is initiated.

Claims (65)

1. A method comprising:

at a server, based on a first data collection policy, collecting observation data from a plurality of devices, the collected observation data including information associated with at least one of device configuration, device state, and device behavior;

at the server, determining a normal pattern of activity occurring on the plurality of devices by processing the collected observation data, the normal pattern of activity being associated with at least one of the device configuration, the device state, and the device behavior of the plurality of devices;

at the server, deriving a second data collection policy from the determined normal pattern of activity occurring on the plurality of devices, the second data collection policy being different from the first data collection policy;

at the server, based on the derived second data collection policy, collecting first device data from a first device of the plurality of devices;

at the server, comparing the normal pattern of activity occurring on the plurality of devices with a first pattern of activity occurring on the first device, the first pattern of activity being determined using the first device data;

at the server, determining that a deviation between the normal pattern of activity and the first pattern of activity associated with the first device is outside of a threshold deviation; and

upon the determination, generating alert information by the server, wherein the alert information when processed causes performance of a first action on the first device.

2. The method of claim 1 , wherein the action on the first device comprises: blocking the first device from accessing a service.

3. The method of claim 1 , wherein the action on the first device comprises: transmitting to the first device instructions to uninstall an application program on the first device.

4. The method of claim 1 , wherein the step of generating an alert further comprises: transmitting a message to an administrator.

5. The method of claim 1 , wherein the observation data collected comprises:

a first set of observation data associated with an organization and collected from a first subset of the plurality of devices associated with the organization, and

a second set of observation data collected from a second subset of the plurality of device not associated with the organization.

6. A method comprising:

at a server, based on a first data collection policy, collecting observation data from a plurality of devices, the collected observation data including information associated with at least one of device configuration, device state, and device behavior;

at the server, determining a normal pattern of activity occurring on the plurality of devices by processing the collected observation data, the normal pattern of activity being associated with at least one of the device configuration, the device state, and the device behavior of the plurality of devices;

at the server, deriving a second data collection policy from the determined normal pattern of activity occurring on the plurality of devices, the second data collection policy being different from the first data collection policy;

at the server, based on the derived second data collection policy, collecting first device data from a first device of the plurality of devices;

at the server, comparing the normal pattern of activity occurring on the plurality of devices with a first pattern of activity occurring on the first device, the first pattern of activity being determined using the first device data;

at the server, determining that a deviation between the normal pattern of activity and the first pattern of activity associated with the first device is outside of a threshold deviation; and

upon the determination, generating alert information by the server, wherein the alert information when processed causes at least one of: the transmitting by the server of a message to an administrator; the blocking of the first device from accessing a service; and transmitting to the first device instructions to uninstall an application program on the first device.

7. The method of claim 6 , wherein the observation data collected comprises:

a first set of observation data associated with an organization and collected from a first subset of the plurality of devices associated with the organization, and

a second set of observation data collected from a second subset of the plurality of device not associated with the organization.

8. The method of claim 7 , wherein:

the first device is associated with the organization; and

the determining the normal pattern of activity occurring on the plurality of devices by processing the collected observation data comprises processing the collected observation data from the first subset of the plurality of devices and not processing the collected observation data from the second subset of the plurality of devices to determine the normal pattern of activity.

9. A method comprising:

at a server, monitoring a plurality of devices for observation data based on a first data monitoring policy, the monitored observation data including information associated with at least one of device configuration, device state, and device behavior;

at the server, establishing a normal pattern of activity occurring on the plurality of devices based on the monitored observation data, the normal pattern of activity being associated with at least one of the device configuration, the device state, and the device behavior of the plurality of devices;

at the server, deriving a second data monitoring policy from the determined normal pattern of activity occurring on the plurality of devices, the second data monitoring policy being different from the first data monitoring policy;

at the server, based on the derived second data monitoring policy, monitoring a first device of the plurality of devices for first device data;

at the server, comparing the normal pattern of activity occurring on the plurality of devices with a first pattern of activity occurring on the first device, the first pattern of activity being determined by the monitored first device data;

at the server, determining that the first pattern of activity associated with the first device of the plurality of devices is outside of a threshold deviation from the normal pattern of activity; and

upon the determination, modifying the second data monitoring policy for monitoring of the first device by the server.

10. The method of claim 9 , wherein the step of modifying the second data monitoring policy comprises:

increasing the monitoring of the first device.

11. The method of claim 9 , wherein the step of modifying the second data monitoring policy comprises:

decreasing the monitoring of the first device.

12. The method of claim 9 , wherein the normal pattern of activity indicates that a first event occurs during a first context, and the step of determining that activity on the first device is outside the normal pattern of activity comprises:

determining that the first event occurred on the first device during a second context, different from the first context.

13. The method of claim 9 , wherein the step of determining that the first pattern of activity on the first device is outside the normal pattern of activity comprises:

receiving from the first device an indication that a shared library has been loaded on the first device from a memory card.

14. The method of claim 9 comprising:

generating a model of characteristics for a specific application program on the plurality of device; and

wherein the step of determining that the first pattern of activity on the first device is outside the normal pattern of activity comprises:

determining that an application program, on the first device and identified as being the same as the specific application program, has a characteristic that is not included in the model of characteristics.

15. The method of claim 9 , wherein the step of monitoring the plurality of devices comprises:

monitoring a first subset of the plurality of devices for first events associated with an application program on the plurality of devices; and

monitoring a second subset of the plurality of devices for second events associated with the application program,

wherein the second subset of devices is not monitored for the first events, and the first subset of devices is not monitored for the second events.

16. A method comprising:

at a server, distributing first policies to a plurality of devices, the plurality of devices includes a first device;

at a server, receiving, from the plurality of devices, observation data responsive to the first policies for observation data, the received observation data including information associated with at least one of device configuration, device state, and device behavior;

at the server, determining a normal pattern of activity occurring on the plurality of devices using the received observation data, the normal pattern of activity being associated with at least one of the device configuration, the device state, and the device behavior of the plurality of devices;

at the server, receiving first device data from a first device of the plurality of devices, the first device data being based on a second policy that has been derived from the normal pattern of activity occurring on the plurality of devices;

at the server, determining a first pattern of activity occurring on the first device using the received first device data;

at the server, comparing the normal pattern of activity with the first pattern of activity occurring on the first device;

at the server, determining that the first pattern of activity deviates from the normal pattern of activity outside of a threshold value; and

upon the determination, transmitting by the server, the second policy to the first device to replace the first policy distributed to the first device.

17. The method of claim 16 , wherein the first policy specifies collection of a first level of detail, and the second policy specifies collection of a second level of detail greater than the first level of detail.

18. The method of claim 16 , wherein the first policy specifies sampling data associated with the first device at a first frequency, and the second policy specifies sampling the data at a second frequency, greater than the first frequency.

19. The method of claim 16 , wherein observation data responsive to the first policies has been anonymized to exclude personally identifiable information (PII).

20. The method of claim 16 , wherein a violation of the normal pattern of activity is detected when the normal pattern of activity specifies a first sequence of events, and the first pattern of activity specifies a second sequence of the events, different from the first sequence.

Assignments (10)
SECURITY INTEREST Recorded Oct 7, 2025
From: LOOKOUT, INC.
To: MIDCAP FINANCIAL TRUST
Reel/Frame 073028/0189 →
SECURITY INTEREST Recorded Oct 2, 2025
From: LOOKOUT, INC.
To: CRESCENT COVE OPPORTUNITY LENDING, LLC, AS AGENT
Reel/Frame 072989/0675 →
SECURITY INTEREST Recorded Aug 10, 2024
From: LOOKOUT, INC.
To: MIDCAP FINANCIAL TRUST
Reel/Frame 068538/0177 →
RELEASE OF PATENT SECURITY INTEREST AT REEL 59909 AND FRAME 0764 Recorded Jun 2, 2023
From: ALTER DOMUS (US) LLC, AS ADMINISTRATIVE AGENT
To: LOOKOUT, INC.
Reel/Frame 063844/0638 →
SECURITY INTEREST Recorded May 9, 2022
From: LOOKOUT, INC.
To: ALTER DOMUS (US) LLC
Reel/Frame 059909/0764 →
RELEASE OF SECURITY INTEREST Recorded May 9, 2022
From: SILICON VALLEY BANK (THE "BANK")
To: LOOKOUT, INC.
Reel/Frame 059909/0668 →
RELEASE OF SECURITY INTEREST Recorded Nov 23, 2020
From: OBSIDIAN AGENCY SERVICES, INC.
To: LOOKOUT INC.
Reel/Frame 054716/0923 →
SECURITY INTEREST Recorded Jun 6, 2019
From: LOOKOUT, INC.
To: OBSIDIAN AGENCY SERVICES, INC.
Reel/Frame 049408/0861 →
SECURITY INTEREST Recorded Oct 29, 2018
From: LOOKOUT, INC.
To: SILICON VALLEY BANK
Reel/Frame 048208/0947 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 9, 2018
From: MAHAFFEY, KEVIN PATRICK; WYATT, TIMOTHY MICHEAL; BUCK, BRIAN JAMES; HERING, JOHN GUNTHER; GUPTA, AMIT; ABEY, ALEX CAMERON; ROBINSON, WILLIAM; BLAICH, ANDREW
To: LOOKOUT, INC.
Reel/Frame 046297/0231 →