System and method for computation of ransomware susceptibility
A method of cyber-risk assessment includes populating a database with ransomware attack information non-intrusively gathered from a plurality of data sources. A request for a ransomware susceptibility assessment of an entity associated with a domain name is received. A digital footprint of an entity is discovered in response to the associated domain name using non-intrusive information gathering. Commercial information associated with the entity is collected in response to the domain name. The database is scanned in response to the discovered digital footprint and at least one ransomware factor associated with the entity is generated in response to the scan. An impact parameter and a ransomware factor coefficient is computed based on the collected commercial information. Then an entity susceptibility index is computed based on the impact parameter, the ransomware factor coefficient, and the at least one ransomware factor. A ransomware attack is then identified and the database is re-populating in response to the identified ransomware attack. At least one of impact parameter or a ransomware factor coefficient is re-computed based at least one of an impact parameter or a ransomware factor coefficient based on the identified new ransomware attack to provide a cyber-risk assessment.
1. A method of cyber-risk assessment, the method comprising:
a) populating a database with ransomware attack information gathered from a plurality of data sources;
b)discovering a digital footprint of an entity based on a domain name associated with the entity using non-intrusive information gathering;
c) collecting commercial information associated with the entity in response to the domain name;
d) scanning the database in response to the discovered digital footprint and generating a ransomware factor associated with the entity in response to the scan;
e) computing an impact parameter based on the collected commercial information;
f) computing an entity susceptibility index based on the impact parameter and on the ransomware factor;
g) identifying a ransomware attack and re-populating the database in response to the identified ransomware attack; and
h) re-computing the impact parameter based on the identified ransomware attack to provide a cyber-risk assessment of the entity.
2. The method of claim 1 wherein the re-computing the impact parameter based on the identified ransomware attack is performed with a machine learning method.
3. The method of claim 2 wherein the machine learning method is based on a Convolutional Neural Network (CNN) for regression prediction algorithm.
4. The method of claim 1 wherein the commercial information comprises industry information.
5. The method of claim 1 wherein the commercial information comprises business-related information of the entity.
6. The method of claim 1 wherein the commercial information comprises at least one of an industry type, an industry size, or an industry geography.
7. The method of claim 1 wherein the commercial information comprises at least one of a number of employees of the entity, a country of operation of the entity, a revenue size of the entity, a market size of the entity, or a digital footprint size of the entity.
8. The method of claim 1 wherein the impact parameter comprises a number associated with at least some of the commercial information.
9. The method of claim 1 further comprising performing a remediation action in response to the cyber-risk assessment.
10. The method of claim 9 wherein the remediation action comprises adjusting a computer process associated with an email misconfiguration.
11. The method of claim 9 wherein the remediation action comprises adjusting a computer process associated with an open critical port finding.
12. The method of claim 9 wherein the remediation action comprises adjusting a computer process associated with an open VPN finding.
13. The method of claim 9 wherein the remediation action comprises adjusting a computer process associated with at least one of a critical vulnerability finding and an endpoint vulnerability finding.
14. The method of claim 9 wherein the remediation action comprises adjusting a computer process associated with a leaked credentials finding.
15. The method of claim 9 wherein the remediation action comprises adjusting a computer process associated with a cyber-incident finding.
16. The method of claim 9 wherein the remediation action comprises adjusting a computer process associated with a darknet/deepweb mention finding.
17. The method of claim 9 wherein the remediation action comprises adjusting a computer process associated with a phishing domain finding.
18. The method of claim 1 wherein the ransomware attack information comprises an email misconfiguration.
19. The method of claim 1 wherein the ransomware attack information comprises an open critical port finding or an open VPN finding.
20. The method of claim 1 wherein the ransomware attack information comprises at least one of a critical vulnerability finding, an endpoint vulnerability finding, a leaked credentials finding, a cyber-incident finding, a darknet/deepweb mention finding, or a phishing domain finding.