Modernize Your SIEM

Your SIEM is great at collecting logs. It was never built for billions of IOCs, sub-second hunting across years of data, or AI-driven triage. This paper shows how leading SOCs are closing that gap by layering on top, not starting over.

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WHAT YOU'LL GET FROM IT
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•  A framework for deciding between two augmentation patterns (sit-on-top vs. selective offload) and which one fits which budget pressure.

•  A side-by-side of where today's SIEMs run out of room —IOC limits, storage caps, per-GB ingestion — and the architectural moves that get around each one.

•  A four-step rollout plan that doesn't require amigration project, paired with the KPIs to measure against.

•  A composite healthcare case study showing thebefore/after of a 38% SIEM renewal hike — including how dwell time on anunmonitored OT device went from 47 days to 4 hours.

•  The math behind the up-to-60% TCO number, broken into the three levers that actually drive it.

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WHO IT'S FOR
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SOC leaders, security architects, and CISOs running a SIEM (Splunk, Sentinel, QRadar, Elastic, Exabeam, Sumo Logic, or similar) who are facing a renewal, a data-volume problem, or a hunting/visibility gap and want a path forward that isn't rip-and-replace.

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FAQ

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Is "augmentation" a real long-term model,or a soft entry to migration?

Both, by design. Anomali customers run alongside their SIEM indefinitely; that's the supported model. Some eventually consolidate further; some never do. The paper lays out the augmentation patterns specifically so you can stay there if that's the right fit.

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What happens to our detection rules, dashboards, and SOAR playbooks?

They stay where they are. The augmentation model is explicit on this point: "no retraining, no re-architecture, no disruption." Your SIEM keeps doing what it does today; Anomali adds the analytics and intelligence layer alongside it.

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