When Big-Data Meets SIEM: How Securonix is Rewriting the Data Ingestion Rulebook

In the fast-moving world of cybersecurity operations, the tension between ingesting more telemetry and keeping budgets under control has become acute. For years, organizations have felt forced into a trade-off: either accept spiraling data-storage costs or curtail log ingestion and risk creating blind spots. Enter Securonix’s newly launched Data Pipeline Manager (DPM) with its “Flex Consumption” model—a move that aims to flip that script.

A Shift in the SIEM Economics

Based in Plano, Texas, Securonix, which has been recognized six times as a Leader in the Gartner Magic Quadrant™ for SIEM, has rolled out DPM Flex as a core component of its Unified Defense SIEM offering. The company claims this architecture allows customers to ingest substantially more data without increasing their budget, by routing telemetry smarter and charging based on data value rather than raw volume.

With the new model, a user who might previously pay for 800 GB/day of ingestion under a traditional SIEM deal can now see “more than 1.1 TB per day” of effective capacity—roughly a 40 percent uplift in visibility for the same spend.

As CEO Kash Shaikh puts it:

“Security teams shouldn’t have to choose between threat coverage and cost.”“With Data Pipeline Manager and DPM Flex Consumption, we’ve removed that trade-off. Customers can now scale threat visibility, strengthen compliance, and drive stronger security outcomes within the same platform and budget.”

Tiered Telemetry = More Insight, Less Waste

At the heart of the DPM Flex model is its intelligent tier-based pipeline. Instead of treating all logs the same, Securonix divides data into three tiers: Analytics (real-time threat detection), Investigation (enriched context for deeper forensics), and Basic (long-term retention for compliance).

By purchasing a single entitlement pool that flexes across all three tiers, organizations can reallocate their resources dynamically—shifting “hot” logs into analytics as needed, and archiving low‐signal data into cost-efficient storage while retaining it for search. The company says this can boost “effective data capacity” by 30–70 percent.

In practical terms:

• Real-time alerts and correlation happen on high-value, enriched data.

  
  

• Historical hunting and forensic drilling use a second tier for deeper dives without overloading the live system.

• Low-value logs (e.g., verbose system logs, printer activity) get archived in a way that keeps them searchable, but dramatically lowers storage cost.

Real-World Footprint: Finance, Healthcare, MSSPs

The announcement cites three representative use-cases showing how different sectors stand to benefit:

• A global financial institution ingesting 1.5 TB/day reportedly achieved “more than 2.1 TB/day of effective visibility capacity” under the same spend—~40 percent more coverage.

• A healthcare network ingesting 500 GB/day saw “nearly 860 GB/day” of effective capacity—a ~72 percent gain—enabling continuous HIPAA-monitoring, faster investigations and richer operational risk insight.

• An MSSP scenario describes cost-reductions of up to 48 percent in ingestion and storage, improving margins and billing predictability. A quoted figure from ISH Tecnologia in Latin America:

  
  

“DPM Flex gives us the agility to manage massive data volumes across hundreds of customers without complexity. We can scale visibility instantly while maintaining predictable cost structures. That’s a real competitive advantage for our business and our clients.”

Why Now? Cost Bloat Meets Visibility Demands

Analysts have long flagged the “SIEM cost bloat” problem: as telemetry volumes explode (cloud logs, endpoint streams, IoT, identity systems), ingesting everything becomes untenable in cost and complexity. Gartner’s “3 Strategies to Trim SIEM Cost Bloat” explicitly calls out the need to evaluate providers offering flexible ingestion aligned with business outcomes.

Securonix’s move thus appears as a strategic response to the intersection of two pressure points: the demand for broader threat visibility and the requirement for predictable, justifiable spend. By attaching value to data instead of just volume, they’re attempting to shift the licensing paradigm.

What This Means for SOCs and Security Buyers

For operations teams and CISOs, a model like DPM Flex can unlock several potential advantages:

• Broader threat coverage without budget creep: Teams can keep more telemetry under active review, decreasing the risk of blind spots.

• Better alignment of spend with threat posture: Instead of paying for every byte, spend aligns to the value and use case of that data.

• Simplified procurement/contracting: A single entitlement pool versus separate products or pricey over-ingest charges.

• Improved ROI on telemetry: With logs properly routed and enriched for where they’ll deliver value, cost per detection/investigation can drop.

• MSSP opportunities: Providers serving multiple tenants gain more predictable margins and a more scalable model.

However, several caveats should be on any buyer’s checklist:

• How “enriched” are the logs before they’re classified into tiers?

• What’s the performance and search latency on data that’s archived versus live?

• Does the model lock you in to a vendor’s ecosystem or storage layers?

• What governance and audit visibility is offered on the tiering and routing logic?

• How will future growth in cloud/native telemetry impact the tier-mix and cost model?

Final Take: A Step Toward Value-Driven Security Data

In a market where SIEM tools often become cost sinks as data explodes, Securonix’s DPM Flex marks a meaningful evolution. By tilting the licensing and architecture toward value-based consumption, the vendor is offering SOCs a way to ingest more broadly and investigate more deeply—without simultaneously inflating budget.

As the data deluge continues (cloud logs, workloads, identity events, OT/IoT), models like this may become not just nice-to-have, but essential. For buyers, the key will be decoding the tiering, understanding the trade-offs (search speed, retention, enrichment), and ensuring the “flex” in the model truly aligns to their real-world telemetry mix.

If you’re at a large enterprise or MSSP, this is worth a serious look. For smaller security ops teams, the promise of more coverage for the same spend could mean stepping out of “fire-hose ingest trade-off mode” and into an era of smarter, scaled visibility.