The alert fatigue is a real deal!
The number and sophistication level of cyberattacks grows constantly. This extends the need of using better tools to detect, analyze, and repair or avoid the consequences of attacks. Unfortunately, the constantly growing number of alerts may overwhelm, and the situation is even worse. The number of false positives – which still require action from security analysts – can easily take the focus off the actual threats. This is what is called the alert fatigue – the situation when due to big amount of data it becomes impossible to distinguish important alerts and take proper actions.
According to the report created by International Data Corporation for Critical Start [*], depending on the size of an organization, between 23% and 30% of all alerts are neglected. The average time taken to investigate an actual alert can easily reach 30 minutes, while false positives seem even more time-expensive, with an average of 32 minutes needed for the investigation. Of course, if they only not land it that almost one-third of the neglected we’ve already mentioned.
At A-Irene – Cybersec, Anomaly Detection we’re aware of these issues and working on relief for excessive false positives, using a proprietary machine learning engine and system built to make CyberSec actions finally easy to implement. Make your analysts’ life better, and your security workflow better guarded!
A-Irene – Cybersec, Anomaly Detection will be launched soon. Sign up to take the front seat and don’t miss the opportunity to improve your CyberSec workflow!
Source: [*] https://lnkd.in/e-aTXdAR
