Vulnerabilities management is a crucial aspect of cybersecurity, as it involves identifying, assessing, and addressing vulnerabilities in computer systems and networks. However, it can be a challenging task for several reasons.Firstly, the sheer volume of vulnerabilities can be overwhelming. With new vulnerabilities being discovered every day, it can be difficult for organizations to keep up and ensure that they are addressing all potential risks.

Secondly, the complexity of modern systems and networks can make it difficult to accurately assess the potential impact of a vulnerability. This can lead to a lack of confidence in the effectiveness of the mitigation measures put in place, potentially leaving the organization exposed to security threats

Thirdly, the constantly evolving nature of cybersecurity threats means that vulnerabilities management must be a continuous process. Organizations must be prepared to continually monitor and assess their systems and networks to ensure that they are protected against the latest threats.

Overall, vulnerabilities management is a critical component of cybersecurity, but it presents a range of challenges. Organizations must be prepared to invest the time and resources necessary to effectively identify, assess, and address vulnerabilities in order to protect themselves from security threats. Machine Learning when combined with professional skills, provides however an opportunity to drastically reduce this challenge.