Connected security system

Patent metadata

Field	Value
Publication number	US-2019089727-A1
Application number	US-201816191844-A
Country	US
Kind code	A1
Filing date	Nov 15, 2018
Priority date	Dec 9, 2015
Publication date	Mar 21, 2019
Grant date	—

Abstract

Systems, methods, and apparatus, including computer programs encoded on computer storage media, for obtaining, processing, and presenting data related to security events, and for implementing courses of action to protect assets in response to the security events. An event management module identifies malicious activity present on a first network domain and/or a second network domain based on received network domain activity. A threat intelligence module receives data identifying the malicious activity in first data constructs of a predefined data structure. The threat intelligence module obtains additional data related to the identified malicious activity and generates second data constructs that include enriched data regarding the malicious activity. The enriched data includes data describing a campaign in which at least a portion of the malicious activity is involved and one or more courses of action. A course of action module receives the second data constructs and implements a given course of action.

First claim

What is claimed is:

1 . A computer-implemented method comprising:
receiving, for an organization, first domain activity data from a first network domain and second domain activity data from a second network domain, the first domain activity data and the second domain activity data including events, alerts, or both from the respective first and second network domains; determining, based on the first domain activity data and the second domain activity data of the first data construct, one or more anomalous correlated event paths through which security events have progressed through at least one of the first network domain or the second network domain, each anomalous correlated event path including one or more assets of the organization; generating one or more first data constructs that include at least one of (i) the first domain activity data, (ii) the second domain activity data, or (iii) data describing the one or more anomalous correlated event paths; receiving external threat data including events, alerts, or both for one or more organizations different from the organization; generating a second data construct that includes data from the one or more first data constructs and at least a portion of the external threat data; determining, based on the one or more anomalous correlated event paths and the threat data, a risk associated with each of one or more outcomes for the organization; generating a visualization of the one or more anomalous correlated event paths and each risk; generating a third data construct that specifies a course of action determined based on at least one of one or more anomalous correlated event paths and each risk; and providing the third data construct to a course of action module that implements the course of action, wherein the first data construct, the second data construct, and the third data construct have a common data structure.

2 . The method of claim 1 , wherein the first network domain is an information technology domain and the second network domain is an operational technology domain.

3 . The method of claim 1 , wherein the visualization includes a Sankey diagram that illustrates a plurality of paths between particular threats and the one or more outcomes.

4 . The method of claim 3 , wherein the path between each particular threat and the one or more outcomes includes at least one asset and at least one business process of the organization.

5 . The method of claim 3 , wherein each path includes a link between a particular threat and a particular asset, and wherein a width of the link is based on a likelihood of the particular threat affecting the particular asset.

6 . The method of claim 1 , wherein the visualization presents a number of security events for at least one of the first network domain or the second network domain for a particular period of time.

7 . The method of claim 1 , wherein the visualization presents a number of security events for each of the one or more assets for a particular period of time.

8 . The method of claim 1 , wherein the visualization presents an amount of security events that have taken each of the one or more attack paths.

9 . A system, comprising:
one or more processors; and a computer-readable storage device coupled to the one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving, for an organization, first domain activity data from a first network domain and second domain activity data from a second network domain, the first domain activity data and the second domain activity data including events, alerts, or both from the respective first and second network domains;
determining, based on the first domain activity data and the second domain activity data of the first data construct, one or more anomalous correlated event paths through which security events have progressed through at least one of the first network domain or the second network domain, each anomalous correlated event path including one or more assets of the organization;
generating one or more first data constructs that include at least one of (i) the first domain activity data, (ii) the second domain activity data, or (iii) data describing the one or more anomalous correlated event paths;
receiving external threat data including events, alerts, or both for one or more organizations different from the organization;
generating a second data construct that includes data from the one or more first data constructs and at least a portion of the external threat data;
determining, based on the one or more anomalous correlated event paths and the threat data, a risk associated with each of one or more outcomes for the organization;
generating a visualization of the one or more anomalous correlated event paths and each risk;
generating a third data construct that specifies a course of action determined based on at least one of one or more anomalous correlated event paths and each risk; and
providing the third data construct to a course of action module that implements the course of action,
wherein the first data construct, the second data construct, and the third data construct have a common data structure.

10 . The system of claim 9 , wherein the first network domain is an information technology domain and the second network domain is an operational technology domain.

11 . The system of claim 9 , wherein the visualization includes a Sankey diagram that illustrates a plurality of paths between particular threats and the one or more outcomes.

12 . The system of claim 11 , wherein the path between each particular threat and the one or more outcomes includes at least one asset and at least one business process of the organization.

13 . The system of claim 11 , wherein each path includes a link between a particular threat and a particular asset, and wherein a width of the link is based on a likelihood of the particular threat affecting the particular asset.

14 . The system of claim 9 , wherein the visualization presents a number of security events for at least one of the first network domain or the second network domain for a particular period of time.

15 . The system of claim 9 , wherein the visualization presents a number of security events for each of the one or more assets for a particular period of time.

16 . The system of claim 9 , wherein the visualization presents an amount of security events that have taken each of the one or more attack paths.

17 . A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving, for an organization, first domain activity data from a first network domain and second domain activity data from a second network domain, the first domain activity data and the second domain activity data including events, alerts, or both from the respective first and second network domains; determining, based on the first domain activity data and the second domain activity data of the first data construct, one or more anomalous correlated event paths through which security events have progressed through at least one of the first network domain or the second network domain, each anomalous correlated event path including one or more assets of the organization; generating one or more first data constructs that include at least one of (i) the first domain activity da

Assignees

• Accenture Global Solutions Ltd

Inventors

• Mulchandani Shaan
• Hassanzadeh Amin
• Hovor Elvis
• Modi Shimon
• Negm Walid

Classifications

• H04L63/1425 Primary

  Traffic logging, e.g. anomaly detection · CPC title

• H04L63/1433

  Vulnerability analysis · CPC title

• H04L63/0227

  Filtering policies (mail message filtering H04L51/212) · CPC title

• G06F21/554

  involving event detection and direct action · CPC title

• H04L63/1441

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