How Next-Generation Cybersecurity Platforms are
Solving the Problems Created by Outdated Tools
While security information and event management (SIEM) vendors continue to insist their technology is
sufficient to meet the dynamic challenges and exceptionally complex threatscape faced by cybersecurity
teams today, their behavior in the marketplace and overall performance tells a different story.
If these platforms are as robust as vendors claim, it’s puzzling why their approach is to continually tack
on “features” that enable SIEM to perform somewhat adequately as effective security tools. If SIEM is
effective, why do vendors recommend upgrading to network analysis or threat detection tools?
How can a SIEM offer real-time threat detection or predictive analysis, like some vendors claim, when
these platforms rely on historic data logs that are outdated as soon as they are fed into the system?
In truth, these systems are inadequate in their simple form and even when enhanced by add-ons. The
answer to the issue of ineffective security solutions is not simply to increase cybersecurity spending.
Surprisingly, the best solution for many organizations could be a lower overall cybersecurity investment.
The fundamental SIEM flaws lie in the platform’s need for continual adjustment, endless data stores,
and a tendency to create an overwhelming number of false positives. When organizations instead turn
to a next-generation cybersecurity solution, which predicts behavior with an unsupervised (zero tuning)
system, they are poised to save on both financial and human resources.