Abstract: Methods and systems are described herein for novel uses and/or improvements to artificial intelligence applications for vulnerability management. Additionally, methods and systems are described herein for contextualizing the importance of finding a patch for a vulnerability and helping to prioritize vulnerabilities to patch. As one example, methods and systems are described herein for generating a ranking of vulnerabilities based on the risk score and a corresponding compensation amount to incentivize individuals to find patches for vulnerabilities. Additionally, methods and systems are described to determine a computing environment specific risk score for vulnerabilities detected within the computing environment.

Abstract: Methods and systems are described herein for novel uses and/or improvements to artificial intelligence applications for vulnerability management. Additionally, methods and systems are described herein for contextualizing the importance of finding a patch for a vulnerability and helping to prioritize vulnerabilities to patch. As one example, methods and systems are described herein for generating a ranking of vulnerabilities based on the risk score and a corresponding compensation amount to incentivize individuals to find patches for vulnerabilities. Additionally, methods and systems are described to determine a computing environment specific risk score for vulnerabilities detected within the computing environment.

Abstract: Methods and systems are described herein for novel uses and/or improvements to artificial intelligence applications for vulnerability management. Additionally, methods and systems are described herein for contextualizing the importance of finding a patch for a vulnerability and helping to prioritize vulnerabilities to patch. As one example, methods and systems are described herein for generating a ranking of vulnerabilities based on the risk score and a corresponding compensation amount to incentivize individuals to find patches for vulnerabilities. Additionally, methods and systems are described to determine a computing environment specific risk score for vulnerabilities detected within the computing environment.

Abstract: Methods and systems are described herein for novel uses and/or improvements to artificial intelligence applications for vulnerability management. Additionally, methods and systems are described herein for contextualizing the importance of finding a patch for a vulnerability and helping to prioritize vulnerabilities to patch. As one example, methods and systems are described herein for generating a ranking of vulnerabilities based on the risk score and a corresponding compensation amount to incentivize individuals to find patches for vulnerabilities. Additionally, methods and systems are described to determine a computing environment specific risk score for vulnerabilities detected within the computing environment.