Security teams today are grappling with a harsh reality: data volumes are exploding, and the cost of storing and analyzing that data—especially in SIEMs and data lakes—is becoming unsustainable. The traditional “ingest everything” mindset is no longer viable. This blog post distills five surprising insights from the eBook “Data Optimization: A Buyer’s Guide to Data Pipeline Management”, that challenge conventional wisdom and offer a more innovative, more cost-effective approach to managing security data.
It’s not ransomware that’s the most significant threat — it’s the visibility gaps security teams must accept. A shocking 67% of organizations admit to ignoring critical data sources because of the high cost and complexity of ingestion. This undermines the core mission of any SOC: comprehensive visibility. The choice between full coverage and budget limitations is a risky trade-off that needs to be rethought.
The idea that ingesting all logs into your SIEM improves security is outdated. Modern Data Pipeline Management (DPM) allows teams to filter, enrich, and normalize data at the source before it reaches costly analytics platforms. This enhances the signal-to-noise ratio, cuts false positives by up to 70%, and lets analysts focus on what really matters.
Managing traditional pipelines consumes significant resources, especially when dealing with numerous security tools. With modern DPM solutions that leverage automation, pre-optimized parsers, and low-code workflows, organizations can reduce pipeline maintenance by up to 85%. This change reduces weeks of work to just hours, allowing engineering teams to concentrate on strategic initiatives.
Vendor lock-in is a common pain point, often trapping data in proprietary formats or expensive ecosystems. A modern DPM architecture supports “Data independence”, enabling organizations to retain full control over their data. Whether routing to multiple SIEMs, data lakes, or cold storage, the flexibility to choose where and how data flows is a game-changer.
Security leaders often face a dilemma: cut data ingestion costs to stay within budget or retain all data to meet strict compliance requirements. A modern DPM strategy resolves this conflict. It allows you to route high-fidelity, enriched data needed for real-time analytics to your expensive SIEM, while simultaneously sending 100% of the raw, full-fidelity logs to low-cost storage. This approach offers the best of both worlds: substantial cost savings — typically starting at 40% out of the box and reaching up to 87% with fine-tuning — and full data availability for compliance, audits, or forensic “replay” investigations. It is often supported by a universal federated search capability that enables investigation across all data sources, regardless of location.
The future of security data management isn’t about collecting more—it’s about collecting smarter. As data volumes grow and budgets remain flat, organizations must rethink their approach. Intelligent pipeline management offers a way to reduce costs, improve visibility, and regain control. The question isn’t whether you can afford to change—it’s whether you can afford not</i to.
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About the Author:
Nagesh Swamy, Product Marketing Manager
Nagesh Swamy is a seasoned product marketer at Gurucul with 15+ years of expertise across cybersecurity, IT infrastructure, and enterprise software. He has spearheaded go-to-market campaigns, competitive intelligence programs, and global product launches for marquee brands like Zscaler, Securonix, Wipro, HP, IBM, and EMC.
Data Pipeline Management refers to the process of collecting, transforming, enriching, and routing security data efficiently before it reaches analytics platforms like SIEMs. It helps reduce costs, improve data quality, and streamline operations.
By implementing intelligent DPM strategies, organizations can filter out low-value telemetry, enrich data at ingestion, and route only high-fidelity data to SIEMs—cutting costs while improving performance and maintaining or even improving threat detection capabilities.
Ingesting everything can lead to high costs, data overload, degraded search performance and increased false positives. It also forces trade-offs that may result in blind spots, reducing the effectiveness of your security operations.
Modern DPM allows organizations to store full-fidelity logs in low-cost storage while routing enriched data to SIEMs. This ensures complete data retention for compliance and forensic investigations without inflating operational costs.
Avoiding vendor lock-in gives organizations ownership and control over their data architecture, enabling flexible routing to multiple tools, lakes, or storage solutions. This supports scalability, cost-efficiency, and strategic decision-making.
