Why switch out
Costly, siloed data. Limited detection capabilities. Tedious threat investigation. Just because that’s how it’s always been done, doesn’t mean it’s how it needs to be. Here are some of the reasons our customers took the leap away from SIEM:
Tedious rule writing
Move Beyond SIEM with Hunters
Be threat-focused, not alert-focused
Automatic detection, correlation, and scoring allows analysts to focus on what really matters: stopping security incidents. Contextualized attack stories allow teams to easily see the bigger picture without sifting through alerts.
Full visibility across the attack surface
Hunters runs on Snowflake Data Lake to ingest unlimited amounts of data and dissolve data silos, at a predictable cost. Snowflake's "always hot" data model allows teams to investigate past threats without long retrieval times.
Centralize your security operations
Reduce security tool complexity by having all security analytics on a single pane of glass. Increase organization and collaboration across the SOC, while reducing analyst fatigue.
Improve key SOC
Decrease time to detect, enrich, and triage alerts with a SOC Platform that automates the entire analyst workflow. Faster time to detect attacks means more time to respond to and mitigate security events.
“So much of my team's efforts were spent managing the SIEM, following up with people on detection logic, looking into proprietary log collectors... Once my team had moved away from that, we had all this time that we could now put back into other aspects of our security organization.”
— former Deputy CISO of Cimpress
The Journey to SIEM Replacement
Take an inventory of your source data
Establish a baseline of all the data you have entering your SIEM: How is the data sent into the SIEM? What is the volume of data? What are the different data sources you’re using?
Map your data to its destination
Identify any additional data streams available and necessary to connect to the platform. Note what each data source is, where it is, and how it can be connected to the Hunters platform.
Plan out a data retention strategy
Determine the duration of your data storage. Hunters runs on top of a Snowflake Data Lake, whose single-tier storage model means that all data is in “hot-storage” - no data archives mean no wait to access historical data.
Break free of cloud lock-in
Lift & shift your data off your SIEM to enable full data ownership.
Identify detection use cases
Build a clear view of all of the detection use cases in your current SIEM, and define what detection capabilities are still required. Prioritize and categorize required detection along the MITRE ATT&CK Framework.
Expand available detection with new capabilities that are difficult for SIEMs to handle, like cross-environment correlation from cloud to identity domains.