According to a recent LinkedIn post from DataBahnai, the company is drawing attention to the cost and inefficiency of current SIEM-based security data pipelines. The post suggests that many enterprises send large volumes of redundant or low-value telemetry from more than 40 security tools into their SIEM platforms, driving up ingestion fees and analyst workload.
The company’s LinkedIn post highlights that filtering and enriching security data before it reaches the SIEM could reduce data volume by 50% to 70%. As an example, the post cites an OT-heavy manufacturer that reportedly halved its SIEM costs within a week by applying edge filtering while retaining full-fidelity logs in cheaper storage for hunting and compliance.
The post references an explanation by Omkar Yerunkar on how DataBahnai handles filtering, volume control, and enrichment inside the data pipeline, implying a focus on lowering customers’ security data infrastructure costs. For investors, this emphasis on SIEM cost optimization may point to a value proposition centered on operational savings and efficiency gains in security operations, potentially enhancing DataBahnai’s competitiveness in the security analytics and observability market.
If DataBahnai can consistently deliver significant SIEM cost reductions and maintain full log fidelity for compliance and threat hunting, the company could appeal to budget-conscious CISOs facing data growth and escalating tooling expenses. This positioning may support customer acquisition and retention, though the post does not provide details on pricing, revenue impact, or customer adoption beyond the single manufacturer example.