PVIS: FixPath

Vulnerability prioritisation that reflects real risk.

PVIS: FixPath helps security teams turn vulnerability, asset and exposure data into clear remediation priorities. By combining asset criticality, exploitability and attacker context, it helps organisations focus on the issues most likely to create real business risk, not just the findings with the highest score.

Built to Prioritise What Matters Most

PVIS: FixPath gives security teams a clearer way to understand risk across their environment. Instead of treating every vulnerability or asset equally, it applies context around asset importance, exposure, exploitability and attacker behaviour to show what should be fixed first.

This leaves security teams with:
High volumes of vulnerability findings and limited prioritisation
Little context around exploitability or business impact
Difficulty knowing which issues genuinely need fixing first
Disconnected views across cloud, endpoint and hybrid environments
Too much time spent triaging low-value issues
Limited confidence that remediation effort is focused in the right place
The root problem isn’t volume, it’s context.

‍Most platforms show what is vulnerable. PVIS: FixPath helps show what matters most, so teams can prioritise remediation based on risk, exposure and business impact.

Why most vulnerability prioritisation fails

By default, vulnerability platforms assign the same baseline importance to every asset. In Qualys, that default is an Asset Criticality Score (ACS) of 2, meaning everything is treated as moderately important unless manually changed. That creates a false risk picture.

FixPath AIC corrects this by:
Identifying which assets attackers target first
Mapping them to real-world attack techniques (MITRE ATT&CK)
Vulnerabilities are prioritised based on where they exist, not just how severe they are.

Decision-Ready Exposure Management

Security teams don’t need more dashboards, they need correct prioritisation. PVIS: FixPath combines vulnerability data with asset criticality and attacker context, so teams spend less time triaging noise and more time reducing real risk.