Do you ever feel overwhelmed by the number of data sources you manage with your SIEM? How do you piece together different pieces of the puzzle like SOAR, threat intelligence, and security tools for endpoint, cloud, or identity? Do you actually know which tools are strengthening your security posture, and which are just adding more complexity?
In this post, we share the common challenges SecOps teams face and discuss how the next generation of SIEMs are fundamentally changing how they unlock the potential of their security data.
Siloed Tools and Data Volumes Burden SecOps Teams
With data volumes on the rise, existing SIEM strategies are becoming unsustainable. Enterprises invest significant time and resources to integrate their SIEM with dozens of tools across their environment, often creating complex and fragmented architectures in efforts to route, replicate, and store data.
Data silos and long deployment cycles hold teams back from getting the visibility they need to detect, investigate, and respond to threats. It only worsens when data pipelines start to fail with broken parsers, changing log formats, or rules that don’t fire. And when legacy SIEMs take hours to execute searches or alerts are delayed, adversaries can break through.
Adding insult to injury, many CISOs see their legacy SIEMs eat up vast amounts of their security budgets. When teams are understaffed and overworked, the last thing they need is to face hard choices about what data they want to ingest, or risk missing a potential incident.
Next-Gen SIEMs Come with Key Data Built In
Next-gen SIEMs take a radically new approach to solve for exponential data growth.
It all starts with getting data in. Unlike their predecessors, the next generation of SIEMs live on the same platform as other security tools including threat intelligence, endpoint, identity, cloud, and more. With a platform approach, key data is consistently structured and available so you can experience sub-second latency and blazing-fast search, even at petabyte scale.
A platform approach to SIEM also simplifies analyst workflows. Data can be managed and accessed from a single console. No more jumping between tabs. No more endless cycles spent configuring connectors, managing parsers, and dealing with constantly changing log formats from different vendors. Further, next-gen SIEMs make data management cost effective: There’s no need to incur incremental ingestion costs when the vast majority of data you need is already in the platform.
Leave a Reply