If we take a look at the recent cyber attacks, we see that no organization whether it is a big firm or small is not safe from such attacks. Cyber criminals are constantly coming up with new and improved ways to steal information or extort money from various organizations that prove that we have loopholes in our current security system. In the current scenario, companies take months to detect a cyber crime and by the time they find a problem, a significant amount of loss has already occurred.
To protect the organizations from such attacks by cyber criminals, companies invest in various tools and software that further results in the generation of more data. This vast amount of data, exponentially increasing the number of cyber attacks and shortage of cyber security analysts is bringing out the need to reevaluate cyber security strategies.
An unsupervised machine learning solution can lead to false positives leading to decreased sensibility and trust for such methods. And, with the increase in data, it is not realistic to manually code and configure all this data in order to prevent cyber attacks. But, if we combine machine learning and human expertise, we will be able to counter such attacks.The hybrid understands the weakness of each system and gives a more effective and efficient solution against cyber crimes.