Teams are overwhelmed by millions of findings with no clear fix order.
CVSS and scanner severity do not reflect real exploitability or business impact.
Fix information is often missing or inconsistent, making it difficult to decide the right remediation path.
Threat intelligence is difficult to operationalize at exposure scale.
Normalize findings across scanners, cloud, endpoint, identity, and AppSec tools
Consolidate fragmented findings into one prioritization view
Create a consistent system of record for exposure decisions
Add KEV, EPSS, exploit signals, MITRE ATT&CK, and threat intelligence
Correlate exposures with asset criticality and business context
Turn raw findings into actionable exposure insights
Score exposures across access, threat, impact, and compensating controls
Consistent and defensible scores across vulnerabilities, misconfigurations & other finding types
Move beyond CVSS and scanner severity
Surface patch availability and remediation guidance
Highlight missing or inconsistent fix information
Help teams choose the right remediation path faster
Cut through millions of findings with risk-based prioritization.
Move beyond CVSS by using exploitability, threat, impact, and controls.
Help teams act faster with fix context and remediation guidance.
Carvana relied on multiple scanners, making it difficult to consolidate asset and vulnerability data. This created operational overhead, blind spots, and challenges in prioritizing vulnerabilities and communicating risk.
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