Cybersecurity has become something of great concern to the IT world over the last few years. The increase in remote working and the move to cloud-based and e-commerce solutions have opened up many new opportunities for cyber exploits and malware attacks. According to the FBI, the incidence of malware and network attacks, particularly ransomware, on both commercial and home systems has shown a major increase. At a corporate and personal level, ID theft has also increased greatly.
So, here’s the deal with AntiVirus software these days: It’s mostly playing catch-up with super-fast athletes — the malware guys. Traditional AV software is like old-school detectives who need a picture (or, in this case, a ‘signature’) of the bad guys to know who they’re chasing. The trouble is, these malware creators are quite sneaky — constantly changing their look and creating new disguises faster than AntiVirus can keep up with their photos.
Cribl Stream is a real-time security and observability data processing pipeline that can be used to collect, transform, enrich, reduce, redact, and route data from a variety of sources to a variety of destinations. One of the popular destinations for Cribl users is Elastic SIEM. This blog post will walk you through the steps on how to set up Cribl Stream to normalize and forward data to use with Elastic Security for SIEM.
In an era where cybersecurity threats are not just frequent but increasingly sophisticated (and becoming more costly), the need for robust defense mechanisms has never been more critical. Security Information and Event Management (SIEM) emerges as a cornerstone in this complex data environment. It’s not just another tool in your cybersecurity toolkit; it’s a solution designed to elevate your organization’s security posture.
In this Livestream conversation, I spoke with John Alves from CyberOne Security about the struggles teams face in modernizing a SIEM, controlling costs, and extracting optimal value from their systems. We delve into the issues around single system-of-analysis solutions that attempt to solve detection and analytics use cases within the same tool.