Reduce risk with predictive intelligence that dynamically prioritises vulnerabilities.
Thousands of vulnerabilities are discovered each year, and it just isn’t possible to patch everything that is discovered.
We tell you what to patch first, based on threat actor activity that is relevant to you. This helps you become more secure and use your resources more effectively.
Cyber threats are constantly evolving and you need to understand who is likely to attack and what
Even with the largest budget, organisations need to prioritise their resources, as well as consider any downtime 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, rather than the likelihood of exploitation.
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. This allows organisations to filter vulnerabilities on their network by those that are the most serious.
Without this approach to risk-based CVE management vulnerabilities that threat actors are actively exploiting may be missed.
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 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, help us identify what threat actors are exploiting, and when this changes.
Our vulnerability management not only helps you prioritise but also shows where critical vulnerabilities are present in your supply chain.