Security Data Pipelines: How to Cut SIEM Costs and Noise with Dina Kamal
From Cyber Sentries: AI Insight to Cloud Security by TruStory FM
January 14, 2026 · 33 min · Season 2 · Episode 9
About this episode
Dina Kamal discusses how security data pipelines can enhance SIEM efficiency and reduce costs.
SIEM Speed Without the Sprawl—DataBahn’s Take on Security Data Pipelines In this Cyber Sentries: AI Insights for Cloud Security episode, host John Richards sits down with Dina Kamal, Chief Revenue Officer at DataBahn, to tackle a familiar cloud security problem: teams can’t get the right data into the SIEM fast enough, and when they do, costs and noise spike. After the introductions, John and Dina dig into why data integration and parsing often consume most of the timeline in SIEM projects—and how a security data pipeline layer can compress onboarding from months to weeks. They also explore what “doing more with less” looks like in a modern SOC: filtering and routing data based on detection value, preserving what’s needed for compliance, and keeping flexibility for SIEM migrations. Dina’s bigger point is that AI only becomes truly useful when it’s paired with domain expertise and real operational context—otherwise it’s easy to end up with impressive-looking outputs that don’t hold up under investigation pressure. Questions We Answer in This Episode Why do SIEM projects stall on data onboarding, and what speeds it up? How can you cut SIEM ingestion costs without weakening…
People in this episode
Host: John Richards
Guest: Dina Kamal
Topics covered
- SIEM
- cloud security
- data pipelines
- cost reduction
- AI in SOC
- data integration
Keywords
- SIEM
- data onboarding
- cloud security
- AI
- SOC workflows
- cost reduction
- data integration
Mentioned in this episode
Organizations: DataBahn
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