In-flight enrichment is the attachment of context such as asset data, threat intelligence, or identity attributes while telemetry is moving through the pipeline. This makes routing and prioritisation decisions smarter because the event is evaluated with context before it becomes expensive to store and analyse.
Expanded Definition
In-flight enrichment is a pipeline pattern used in security operations, data engineering, and identity-aware telemetry processing. It adds context to an event while the event is still moving through collection, transport, or correlation, rather than waiting until storage or post-processing. That context can include asset ownership, threat intelligence, geolocation, identity attributes, service metadata, or risk scores, depending on the use case and data model.
The term is often applied to SIEM, SOAR, XDR, and streaming analytics workflows where fast triage matters. In practice, enrichment can improve routing, suppression, alert severity, and analyst prioritisation. It is related to event correlation, but it is not the same thing. Correlation usually combines multiple events to infer a pattern, while in-flight enrichment attaches additional context to a single event or stream element before downstream decisions are made. That distinction matters when teams need to reduce latency and avoid storing low-value telemetry at full cost.
Definitions vary across vendors on where the enrichment step sits in the pipeline, especially when enrichment occurs at the collector, message bus, or detection layer. NIST’s NIST Cybersecurity Framework 2.0 does not define the term directly, but it supports the broader governance need for timely, risk-informed security decision-making. The most common misapplication is treating in-flight enrichment as a substitute for authoritative source data, which occurs when teams attach stale identity or asset records and assume the result is operationally reliable.
Examples and Use Cases
Implementing in-flight enrichment rigorously often introduces processing overhead and dependency risk, requiring organisations to weigh faster triage against the added cost of maintaining reliable context sources.
- A SIEM pipeline adds CMDB asset criticality to each endpoint alert so analysts can prioritise a domain controller over a low-value workstation.
- A detection stream joins identity attributes, such as role or department, to cloud audit logs so unusual access from a privileged account is surfaced sooner.
- A SOAR workflow enriches phishing telemetry with domain reputation and known-bad indicators before deciding whether to auto-quarantine or escalate.
- An XDR platform attaches EDR host posture and active user context to network events so a single connection can be judged in operational context.
- A fraud or access-monitoring pipeline enriches a login event with device trust and location intelligence before scoring the event for review.
For identity-heavy environments, enrichment is especially valuable when it pulls from sources such as CISA vulnerability intelligence or internal identity stores to reduce false positives and avoid treating every event as equally risky. The strongest implementations keep enrichment rules explicit, observable, and version-controlled so that analysts can trace why a decision was made.
Why It Matters for Security Teams
In-flight enrichment matters because security teams rarely have time to inspect raw telemetry at scale. Without context, alerts become noisier, routing becomes less accurate, and automation can act on incomplete signals. With context attached early, teams can suppress benign activity, prioritise high-value assets, and route identity-related events to the right queue before storage and indexing costs rise.
The term also intersects with identity security. When enrichment adds user, service account, or Non-Human Identity metadata, it can improve investigations into anomalous access, over-privileged automation, and compromised credentials. That benefit only holds when the identity source is trustworthy and current. If the enrichment layer lags behind provisioning changes, it can create misleading confidence and hide privilege drift.
Security leaders should also treat enrichment as a governance control issue, not just a tuning exercise. Bad enrichment logic can bias detections, send sensitive data to the wrong workflow, or create inconsistent outcomes across tools. Teams working under NIST Cybersecurity Framework 2.0 principles should align enrichment rules with asset inventory, identity governance, and incident-handling requirements. Organisations typically encounter the business impact only after a major alert storm or missed escalation, at which point in-flight enrichment becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0 and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | DE.CM-1 | CSF monitoring relies on timely context to make telemetry useful for detection and response. |
| NIST SP 800-63 | IAL | Identity assurance concepts are relevant when enrichment uses user or account attributes. |
Validate identity attributes before enrichment so downstream decisions use trustworthy identity data.
