Never-ending list of vulnerabilities to patch and no idea if you are becoming more secure?

Each vulnerability is dynamically scored using our OVSS based on threat actor activity, not theory.

Let us help you prioritize based on actual risk to your business. We can even tell you which vulnerabilities you have that will be used in ransomware attacks.

Using one of the best databases of active vulnerabilities, we prioritize based on threat actor activity in the moment, helping you to deploy your resources to the greatest effect.

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Only 0.5% of vulnerabilities will actually be exploited

We can predict with over 90% accuracy which vulnerabilities will be exploited in the future.

CVSS cannot tell you the likelihood of a future exploit nor does it consider whether an exploit code exists.

Coupled with our threat-led scoring, we give you a more effective way to prioritize remediation.

The Solution

Orpheus has developed the Orpheus Vulnerability Severity Score (OVSS) which uses our cyber threat intelligence, machine learning, and other features to give every CVE a score, allowing organisations to filter vulnerabilities on their network by those that are the most serious.

Without this approach to risk-based CVE management, it is incredibly difficult to know which vulnerabilities to patch first and this enables organisations to prioritise.

Risk-Based Vulnerability Management

Machine Learning

We deploy our award-winning technologies to collect, index, store and analyze huge volumes of cyber risk data from a wide range of sources, both technical and non-technical.

Our advanced analytical techniques, including machine learning, combined with our highly-skilled analysts, enable us to provide predictive and actionable intelligence to our clients.

View it on our platform or yours and see results within seconds.

Trusted by major organizations worldwide

BPP
Bank of England
BAT
Morgan Sindall
Department For Work and Pensions
Cabinet Office
Ministry of Defence
Danmarks National Bank
National Bank of Belgium
Global Switch

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