IP Library › Granted Patent US 12,463,996
Granted Patent B1
US 12,463,996 · App. 18/169,025 · Granted Nov 4, 2025

Risk engine that utilizes key performance indicators

Inventors: Trevor A. Welsh (Sherborn, MA); Yijou Chen (Cupertino, CA)
Assignee: Fortinet, Inc.
H04L63/1425G06F9/455G06F9/545G06F16/9024G06F16/9038G06F16/9535G06F16/9537G06F21/57H04L43/045H04L43/06H04L63/10H04L67/306H04L67/535G06F16/2456
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Quick Facts
Patent No.
US 12,463,996
App. No.
18/169,025
Filed
Feb 14, 2023
Granted
Nov 4, 2025
Kind
B1
Art Unit
2498
USPC
726/23
Abstract

Risk engine using key performance indicators, including: monitoring network activity associated with a customer to identify one or more infrastructure risks; calculating, based on the identified one or more infrastructure risks, a key performance indicator (KPI); and presenting, via a user interface, a comparison of a risk metric associated with the customer to one or more other risk metrics corresponding to one or more cohorts of the customer selected based on a variable input to a user interface element of the user interface.

Claims (34)

1 . A method of providing a risk engine using key performance indicators, the method comprising:

monitoring network activity associated with a customer to identify one or more infrastructure risks;

calculating, based on the identified one or more infrastructure risks, a key performance indicator (KPI);

presenting a user interface comprising a variable input for a risk metric continuum and an indication of one or more cohorts of the customer on the risk metric continuum, wherein identifying the one or more cohorts of the customer is based on monitored network activity associated with a plurality of customers including the customer; and

configuring one or more security controls based on the variable input.

2 . The method of claim 1 , wherein the key performance indicator comprises a maximum loss expected (MLE).

3 . The method of claim 1 , wherein calculating the KPI is based on data associating infrastructure events with corresponding financial impact.

4 . The method of claim 1 , wherein calculating the KPI is based on a probabilistic risk model.

5 . The method of claim 4 , wherein the probabilistic risk model comprises a factor analysis of information risk (FAIR) framework.

6 . The method of claim 1 , wherein monitoring the network activity associated with the customer comprises further comprising receiving, from one or more agents, data indicating the network activity associated with the customer.

7 . The method of claim 1 , wherein the variable input comprises a slider input.

8 . A non-transitory computer program product for a risk engine using key performance indicators, the computer program product disposed on a non-transitory computer readable medium, the computer program product including computer program instructions configurable to cause an electronic device to:

monitor network activity associated with a customer to identify one or more infrastructure risks;

calculate, based on the identified one or more infrastructure risks, a key performance indicator (KPI);

present a user interface comprising a variable input for a risk metric continuum and an indication of one or more cohorts of the customer on the risk metric continuum, wherein identifying the one or more cohorts of the customer is based on monitored network activity associated with a plurality of customers including the customer; and

configure one or more security controls based on the variable input.

9 . The non-transitory computer program product of claim 8 , wherein the key performance indicator comprises a maximum loss expected (MLE).

10 . The non-transitory computer program product of claim 8 , wherein calculating the KPI is based on data associating infrastructure events with corresponding financial impact.

11 . The non-transitory computer program product of claim 8 , wherein calculating the KPI is based on a probabilistic risk model.

12 . The non-transitory computer program product of claim 11 , wherein the probabilistic risk model comprises a factor analysis of information risk (FAIR) framework.

13 . The non-transitory computer program product of claim 8 , wherein monitoring the network activity associated with the customer comprises further comprising receiving, from one or more agents, data indicating the network activity associated with the customer.

14 . The non-transitory computer program product of claim 8 , wherein the variable input comprises a slider input.

15 . A system comprising:

a memory device to store instructions; and

a hardware processor coupled with the memory device, the hardware processor to execute instructions stored in the memory device to cause the system to:

monitor network activity associated with a customer to identify one or more infrastructure risks;

calculate, based on the identified one or more infrastructure risks, a key performance indicator (KPI);

present a user interface comprising a variable input for a risk metric continuum and an indication of one or more cohorts of the customer on the risk metric continuum, wherein identifying the one or more cohorts of the customer is based on monitored network activity associated with a plurality of customers including the customer; and

configure one or more security controls based on the variable input.

16 . The system of claim 15 , wherein the key performance indicator comprises a maximum loss expected (MLE).

17 . The system of claim 15 , wherein calculating the KPI is based on data associating infrastructure events with corresponding financial impact.

18 . The system of claim 15 , wherein calculating the KPI is based on a probabilistic risk model.

19 . The system of claim 18 , wherein the probabilistic risk model comprises a factor analysis of information risk (FAIR) framework.

20 . The system of claim 15 , wherein monitoring the network activity associated with the customer comprises further comprising receiving, from one or more agents, data indicating the network activity associated with the customer.

Assignments (2)
MERGER Recorded Oct 7, 2024
From: LACEWORK, INC.
To: FORTINET, INC.
Reel/Frame 069269/0377 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 14, 2023
From: WELSH, TREVOR A.; CHEN, YIJOU
To: LACEWORK, INC.
Reel/Frame 062696/0423 →
Continuity (8)
Continuation In Part 17857896 · Jul 5, 2022
Continuation 17704926 · Mar 25, 2022
Continuation In Part 17196887 · Mar 9, 2021
Continuation 16459207 · Jul 1, 2019
Continuation 16134821 · Sep 18, 2018
Provisional Application 63240818 · Sep 3, 2021
Provisional Application 62650971 · Mar 30, 2018
Provisional Application 62590986 · Nov 27, 2017
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