Determining risk mitigation measures from assessed risks

Patent metadata

Field	Value
Publication number	US-2022188717-A1
Application number	US-202017122476-A
Country	US
Kind code	A1
Filing date	Dec 15, 2020
Priority date	Dec 15, 2020
Publication date	Jun 16, 2022
Grant date	—

Abstract

A processor may receive information regarding risk mitigation approaches. The information regarding risk mitigation approaches may be stored in a database accessible to a risk assessment AI model. The processor may receive information regarding risks associated with the area. The processor may determine, using the risk assessment AI model, a current risk evaluation associated with the area. The processor may determine, using the risk assessment AI model, recommended risk mitigation measures based on the current risk evaluation.

First claim

What is claimed is:

1 . A method for determining risk mitigation needs in an area, the method comprising:
receiving, using a processor, information regarding risk mitigation approaches, wherein the information regarding risk mitigation approaches is stored in a database accessible to a risk assessment AI model; receiving information regarding risks associated with the area; determining, using the risk assessment AI model, a current risk evaluation associated with the area; and determining, using the risk assessment AI model, recommended risk mitigation measures based on the current risk evaluation.

2 . The method of claim 1 , further including:
generating a first data block of a blockchain ledger, the first data block having data regarding the risk mitigation approaches; generating a second data block of the blockchain ledger, the second data block having data regarding the risks associated with the area; generating a third data block of the blockchain ledger, the third data block having data regarding the current risk evaluation associated with the area; generating a fourth data block of the blockchain ledger, the fourth data block having data regarding the recommended risk mitigation measures based on the current risk evaluation; and storing the first data block, the second data block, the third data block, and the fourth data block in a chain in a secure data repository.

3 . The method of claim 1 , wherein information regarding risks associated with the area includes data obtained from monitoring people and activities in the area in real-time.

4 . The method of claim 1 , further including:
receiving information regarding risks associated with the area that are predicted for a future time; determining, using the risk assessment AI model, a future risk evaluation associated with the area; and determining, using the risk assessment AI model, recommended risk mitigation measures based on the future risk evaluation.

5 . The method of claim 4 , wherein determining the risk mitigation measures further includes:
determining that the future risk is greater than or equal to a risk limit; and determining a time required for risk mitigation measures to decrease the future risk below the risk limit.

6 . The method of claim 5 , wherein determining the risk mitigation measures further includes:
determining an alternative area for use.

7 . The method of claim 4 , further including:
generating a fifth data block of the blockchain ledger, the fifth data block having data regarding the risks predicted for a future time associated with the area; generating a sixth data block of the blockchain ledger, the sixth data block having data regarding the future risk evaluation associated with the area; generating a seventh data block of the blockchain ledger, the seventh data block having data regarding the future risk evaluation associated with the area; and storing the fifth data block, the sixth data block, and the seventh data block in a chain in a secure data repository.

8 . The method of claim 4 , further comprising assessing compliance with the recommended risk mitigation measures.

9 . The method of claim 8 , further including:
generating an eight data block of the blockchain ledger, the eight data block having data regarding the compliance with the risk mitigation measures; and storing the eight data block in a chain in a secure data repository.

10 . The method of claim 8 , further comprising revising the recommended risk mitigation measures, utilizing the risk assessment AI model, based on the compliance with the risk mitigation measures.

11 . A system comprising:
a memory; and a processor in communication with the memory, the processor being configured to perform operations comprising: receiving information regarding risk mitigation approaches, wherein the information regarding risk mitigation approaches is stored in a database accessible to a risk assessment AI model; receiving information regarding risks associated with the area; determining, using the risk assessment AI model, a current risk evaluation associated with the area; and determining, using the risk assessment AI model, recommended risk mitigation measures based on the current risk evaluation.

12 . The system of claim 11 , the processor being further configured to perform operations comprising:
receiving information regarding risks associated with the area that are predicted for a future time; determining, using the risk assessment AI model, a future risk evaluation associated with the area; and determining, using the risk assessment AI model, recommended risk mitigation measures based on the future risk evaluation.

13 . The system of claim 12 , wherein determining the risk mitigation measures further includes:
determining that the future risk is greater than or equal to a risk limit; determining a time required for risk mitigation measures to decrease the future risk below the risk limit; and determining an alternative area for use.

14 . The system of claim 12 , the processor being further configured to perform operations comprising: assessing compliance with the recommended risk mitigation measures.

15 . The system of claim 14 , the processor being further configured to perform operations comprising: revising the recommended risk mitigation measures, utilizing the risk assessment AI model, based on the compliance with the risk mitigation measures.

16 . A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform operations, the operations comprising:
receiving information regarding risk mitigation approaches, wherein the information regarding risk mitigation approaches is stored in a database accessible to a risk assessment AI model; receiving information regarding risks associated with the area; determining, using the risk assessment AI model, a current risk evaluation associated with the area; and determining, using the risk assessment AI model, recommended risk mitigation measures based on the current risk evaluation.

17 . The computer program product of claim 16 , the processor being further configured to perform operations comprising:
receiving information regarding risks associated with the area that are predicted for a future time; determining, using the risk assessment AI model, a future risk evaluation associated with the area; and determining, using the risk assessment AI model, recommended risk mitigation measures based on the future risk evaluation.

18 . The computer program product of claim 17 , wherein determining the risk mitigation measures further includes:
determining that the future risk is greater than or equal to a risk limit; determining a time required for risk mitigation measures to decrease the future risk below the risk limit; and determining an alternative area for use.

19 . The computer program product of claim 16 , the processor being further configured to perform operations comprising: assessing compliance with the recommended risk mitigation measures.

20 . The computer program product of claim 19 , the processor being further configured to perform operations comprising: revising the recommended risk mitigation measures, utilizing the risk assessment AI model, based on the compliance with the risk mitigation measures.

Assignees

• IBM

Inventors

• Daley Stan Kevin
• Bender Michael
• Childress Rhonda L
• Rakshit Sarbajit K

Classifications

• G06N20/00

  Machine learning · CPC title

• H04L9/3247

  involving digital signatures · CPC title

• H04L9/50

  using hash chains, e.g. blockchains or hash trees · CPC title

• G06Q10/063114

  Status monitoring or status determination for a person or group · CPC title

• G06Q10/0635 Primary

  Risk analysis of enterprise or organisation activities · CPC title