❯ Threat Prioritization
Automated remediation prioritization with context
CVM uses real-time threat intelligence and machine learning models to automatically prioritize the vulnerabilities posing the most signiﬁcant risk to your organization. Indicators, such as Exploitable, Actively Attacked, and High Lateral Movement, bubble up current vulnerabilities that are at risk while machine learning models highlight vulnerabilities most likely to become severe threats, providing multiple levels of prioritization. Further prioritize remediation by assigning a business impact to each asset, like devices that contain sensitive data, mission-critical applications, public-facing, accessible over the internet, etc.