TL;DR: Security data pipelines determine whether logs, metrics, traces, and events reach the right tools in time, and the article argues that vendor-controlled ingestion creates lock-in, blind spots, and AI limits, according to DataBahn and practitioner perspectives from Forrester and BD. Pipeline independence now matters as much as the downstream SIEM or analytics stack.
NHIMG editorial — based on content published by DataBahn: Why are Legacy SIEMs a problem?
Questions worth separating out
Q: How should security teams keep telemetry pipelines vendor-neutral?
A: Security teams should separate collection, enrichment, and destination selection so telemetry can move to multiple tools without being trapped in one ecosystem.
Q: Why does vendor-controlled telemetry increase operational risk?
A: Vendor-controlled telemetry increases risk because it concentrates visibility, routing, and parsing decisions in one place.
Q: What do security teams get wrong about detection-led security in AI attacks?
A: They often assume detection can still assemble enough context before the attacker finishes.
Practitioner guidance
- Define telemetry ownership boundaries Document who owns ingestion, routing, enrichment, and forwarding for security data across IAM, NHI, cloud, and endpoint sources.
- Separate enrichment from destination choice Design pipelines so enrichment and filtering happen before final routing, and ensure the same data can be sent to multiple destinations such as SIEM, data lake, and AI analytics without duplication.
- Test exit scenarios for telemetry Run migration exercises that move selected log sources away from a primary vendor stack and confirm that parsing rules, routing logic, and identity context still work outside the original ecosystem.
What's in the full article
DataBahn's full article covers the operational detail this post intentionally leaves for the source:
- The webinar discussion with Allie Mellen and BD on why neutral pipelines matter in day-to-day SOC operations
- The specific ways vendor-native ingestion can create duplication, blind spots, and routing friction across environments
- The implementation example showing how BD consolidated telemetry and controlled routing across multiple destinations
- The vendor’s own explanation of AI-ready data pipelines and how enrichment is applied before final delivery
👉 Read DataBahn's analysis of why security data pipelines now control SOC visibility →
Security data pipelines: what they mean for SOC control and resilience?
Explore further
Pipeline neutrality is now a security governance issue, not a tooling preference. When telemetry control sits inside one vendor ecosystem, the organisation gives up flexibility at the exact point where flexibility is needed most. That affects detection quality, migration options, and the ability to validate data independently. Practitioners should treat pipeline ownership as part of their security architecture, not as a backend implementation detail.
A question worth separating out:
Q: Who is accountable for routing and retention decisions in a security pipeline?
A: Accountability should sit with the team that owns security data architecture, usually shared between security engineering, SOC leadership, and data platform teams. The decision cannot be left to source owners by default. Governance needs a documented policy for routing, retention, and review so the SIEM is used for detection, not habit.
👉 Read our full editorial: Security data pipelines are becoming the new control point for SOCs