From Static to Adaptive: The Next-Gen Pipeline

Most enterprises still rely on static telemetry pipelines - configured once, then left untouched. The result? Overpaying for unused data, slower investigations, and critical alerts buried in irrelevant noise.

Adaptive telemetry changes that. It classifies data by how it’s actually used - powering a detection rule, driving a dashboard, or just sitting unused. High-value signals flow where they’re needed most, while low-value data is aggregated, sampled, or dropped automatically.

From there, the pipeline adjusts in real time - routing, transforming, and prioritizing based on context and value. This means teams can:

• Classify on the fly by source, content, and detection relevance
  
  
• Route intelligently, keeping essential data in high-value destinations while pushing non-essential data to lower-cost storage
  
  
• Reduce dynamically to maintain visibility without overspending
  
  
• Continuously re-optimize as costs, performance, and coverage needs shift

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What We Uncover in Enterprise Environments

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When we examine enterprise telemetry pipelines, we consistently uncover the same issues:

• ~68% of logs ingested go unused 
• 15–20% of detection rules break down 
• 80%+ of environments show MITRE gaps 

These patterns illustrate a fundamental truth: even well-designed pipelines degrade quickly. Without adaptivity, teams are trapped in cycles of firefighting rather than staying ahead.

The Business Impact

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Organizations that adopt adaptive telemetry pipelines can:

• Surface high-priority alerts faster by reducing noise
  
  
• Adapt seamlessly to new tools, sources, and threats
• Cut ingestion costs without creating blind spots
  
  
• Keep pipelines aligned with changing business and security needs
  
  

The choice is simple:

Keep chasing yesterday’s problems, or build a pipeline that keeps pace with tomorrow.

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