Detect real warnings from false alarms

Today's enterprises face increasingly complex cyber threats. Hackers are increasingly able to evade the prevention and detection measures of new and old security infrastructures and have unfortunately become a bitter reality for security teams. The challenge is to detect a true alert in a flood of false positives, that is, to find the balance between risk and frequency. IT professionals see this as one of their biggest challenges, according to ESG Research's "Security, Operations, Challenges, Priorities and Strategies" study.

New technologies with elements of artificial intelligence (AI) and machine learning (ML) support the detection of real threats and optimize the speed and accuracy of the security center. In doing so, the software should, according to Logrhythm include the following:

1.a holistic threat analysis

Too many different security technologies that don't work together get in each other's way. As a result, IT experts are overwhelmed by a flood of information and real attacks can be overheard. It is therefore important to have a unified security system with a holistic threat analysis and uniform processes that can use artificial intelligence to detect cyberattacks in good time, classify them and show in simplified form where they occur, when and why. The endpoint, server, application, device and user are examined.

2. a transparent platform

Finally, the technology should enable companies to detect both known and unknown cyber threats across the entire attack surface. Data must therefore be collected, modeled, and enriched on a platform, and sophisticated scenario analyses (tactics, techniques, procedures) must be created on their basis. The security system must remain transparent throughout to allow IT experts to perform further in-depth behavioral analyses. This is the only way to detect subtle changes in behavior that indicate a potential or current threat.

3. optimization of the relation of false alarms to real alarms

New technology must ultimately make it possible for the ratio of false alarms to genuine alerts to be optimized compared to before. Risk and frequency must be weighed using AI-powered analytics and ultimately distinguish real from false alerts - reducing false alerts but not the number of attacks detected. Security vendors need to offer their customers advanced and pragmatic approaches, with the goal of freeing up security experts and reducing costs without sacrificing quality.

Text: Ross Brewer, Managing Director and Vice President EMEA, LogRhythm