Our use of Machine Learning towers risk-based vulnerability management is award-winning and has been recognised for its innovative approach.
Thousands of vulnerabilities are discovered each year, and it just isn’t possible to patch everything that is discovered.
Our award-winning machine learning engine provides live predictions on the likelihood a critical vulnerability in your business will be exploited.
Using one of the best databases of active vulnerabilities, we prioritise based on threat actor activity in the moment, helping you to deploy your resources to the greatest effect.
Have confidence in your prioritisation, using our technology which has been independently assessed to 94% accuracy.
Cyber threats are constantly evolving and you need to understand who is likely to attack and what
Thousands of vulnerabilities, named CVE’s, are identified and published each year. The problem is knowing which ones to focus on mitigating, which can be a costly and time-consuming process.
Even with the largest budget, organisations need to prioritise their resources, as well as consider any down-time caused by patching. It is imperative to prioritise effectively, reducing risk and making the best use of the organisation’s resources.
The widely-used scoring system for vulnerability management scores vulnerabilities based on the severity of the impact should a CVE be exploited.
Some of these vulnerabilities will never be exploited, and some may be exploited but hackers move on to newer and easier vulnerabilities. Understanding the severity based on these factors as well as impact is important for prioritisation.
Predicting the likelihood of a CVE being exploited in the future is also an important factor. A vulnerability with a severe impact, which is unlikely to be exploited can be prioritised differently to one with a high likelihood of exploitation.
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.
Our OVSS allows you to:
- Understand which vulnerabilities are the most critical
- See which vulnerabilities are not yet being exploited by hackers are the most likely to in the future
- Accurately prioritise which vulnerabilities need to be patched immediately
- Have confidence in your prioritisation as our prediction has been shown to be over 94% accurate.
We deploy our UK Government award-winning technologies to collect, index, store and analyse 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.
Our Cyber Risk Rating Platform shows which vulnerabilities are visible on your attack surface and on your third-parties.