Runtime threat visibility in Splunk is the real CNAPP gap

At a glance

What this is: Aqua Security’s Splunk integration moves runtime workload detections into the SOC workflow so analysts can investigate cloud native threats without switching tools.

Why it matters: It matters because identity, workload, and enforcement signals are only useful when they arrive in the same investigation path, especially for teams governing non-human access and cloud native runtime risk.

👉 Read Aqua Security's guide to streaming runtime threat data into Splunk

Context

Runtime visibility is the ability to see what a workload is actually doing while it is running, not just what was allowed or scanned before deployment. In cloud native environments, that matters because container activity, policy violations, blocked processes, and forensic artefacts often live outside the SOC’s primary investigation path, even though they are the signals that explain what happened.

For IAM, NHI, and security operations teams, the governance problem is not only detection quality but evidence placement. When runtime events sit in a separate console, analysts lose context at the exact moment they need to correlate workload behaviour with host, network, endpoint, and identity signals. That creates a practical blind spot in incident triage and compliance reporting.

Key questions

Q: How should security teams handle runtime workload evidence in their SIEM?

A: They should route runtime detections, enforcement actions, and forensic artefacts into the same investigation path as identity, endpoint, and network telemetry. That keeps the SOC from losing context during triage and makes it easier to reconstruct what a workload actually did, not just what scanners predicted it might do.

Q: Why does runtime visibility matter more than static posture data during investigations?

A: Because runtime data shows what happened in production at the point of execution. Static posture data can identify misconfiguration, but it cannot prove whether a blocked process ran, whether drift occurred, or whether a control stopped the action in time. Analysts need both, but runtime evidence usually decides the incident narrative.

Q: What do security teams get wrong about cloud native telemetry integration?

A: They often treat integration as a logging task instead of a governance decision. If the wrong events are forwarded, or if enforcement signals stay siloed, the SOC still lacks the evidence needed for triage, compliance, and forensics. The integration only helps when the event model matches the investigation model.

Q: How should teams decide which workload events to forward to Splunk?

A: Forward the events that answer operational questions your responders actually ask, such as what was blocked, what drifted, what lineage preceded the action, and what evidence supports compliance. That keeps the dataset useful and prevents noisy telemetry from overwhelming the investigation workflow.

How it works in practice

Splunk HEC and runtime telemetry forwarding

The integration uses Splunk’s HTTP Event Collector, or HEC, as the ingestion point for Aqua audit and security events. Aqua sends workload-level detections, policy violations, and enforcement events into Splunk as structured telemetry, which means the SOC can correlate them with existing event data instead of treating runtime security as a separate workflow. The optional app layer then provides prebuilt dashboards over that same data. The key architectural point is that this is log forwarding with enforcement context, not a passive export of generic scan results.

Practical implication: teams should validate which runtime events are forwarded and ensure the collector is receiving the fields needed for investigation and reporting.

Runtime enforcement context versus visibility-only logging

Aqua’s value in this pattern is not just that it observes workload behaviour, but that it records action at the point of execution. Blocked process execution, drift detection, malware findings, process lineage, and memory forensics are different from static posture data because they reflect what the workload did or attempted to do while live. In practice, that gives analysts evidence of an active control decision rather than a pre-execution assessment. For cloud native investigations, that distinction matters because runtime evidence often determines whether an event is an alert, a violation, or a contained incident.

Practical implication: preserve enforcement-backed events in the SIEM so incident responders can distinguish attempted execution from merely discovered risk.

Audit filters, tokens, and operational boundaries

The setup model is straightforward but still governance-sensitive. Splunk admins create the collector and service token, then Aqua admins configure the endpoint, port, and optional audit filters. Those filters determine which events are forwarded, which means the integration’s investigative value depends on deliberate scoping, not just connectivity. This is important in mixed cloud environments because teams may want different forwarding rules for compliance events, runtime violations, and forensic artefacts. Without clear filters, the SOC either receives too little detail or too much noise.

Practical implication: define forwarding criteria by use case so audit, incident, and compliance signals are routed intentionally.

NHI Mgmt Group analysis

Runtime visibility only matters when it lands in the SOC’s primary evidence path. Cloud native teams already have enough tools that generate signal but fail to deliver it where investigations happen. The real issue here is not whether runtime detections exist, but whether they are available alongside identity, endpoint, and network telemetry at decision time. That is a governance and operating-model problem, not just a log-routing problem. Practitioners should treat evidence placement as part of the control design.

Workload enforcement data is materially different from posture data. A blocked process, a detected drift event, or a process lineage chain tells the SOC that control action occurred in production, not just that a misconfiguration existed. That changes how incidents are triaged and how compliance evidence is defended. When runtime events are retained in Splunk, the SOC can anchor analysis in actual workload behaviour rather than inferred risk. Practitioners should separate runtime enforcement records from static vulnerability findings in their investigation model.

Identity and workload governance converge at the telemetry layer. In cloud native environments, the same investigation may need to explain who or what initiated a workload action, what execution path followed, and whether the platform stopped it. That is why container runtime telemetry cannot be treated as an isolated CNAPP feature. It is part of the broader identity evidence chain that supports NHI oversight, privileged workload review, and incident reconstruction. Practitioners should align SIEM content models with workload identity and runtime controls.

Runtime telemetry routing is becoming a control boundary, not an integration convenience. Once SOCs depend on enforcement context for triage, the question becomes which workload signals are mandatory, which are optional, and which remain trapped in specialist tooling. That shifts the operational burden onto security architecture and governance teams. Practitioners should decide which runtime events are required for response, audit, and forensics before an incident forces that decision.

From our research:

• 53% of security leaders expect AI to run major portions of their infrastructure autonomously within the next three years, according to The 2026 Infrastructure Identity Survey.
• Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security, according to The 2026 Infrastructure Identity Survey.
• For the broader identity picture, see NHI Lifecycle Management Guide for how provisioning, rotation, and offboarding need to line up with investigation and audit workflows.

What this signals

Runtime telemetry is becoming part of the identity evidence chain, not just a container security feed. As more cloud native workloads and non-human identities are investigated through the SOC, teams need SIEM content models that preserve enforcement context, not only alerts. That is the difference between seeing a signal and being able to prove what happened.

Runtime evidence debt: when workload detections stay trapped in specialist tools, the organisation accumulates investigative debt that shows up during triage, audit, and forensics. The operational fix is to decide which runtime events belong in the primary evidence store, then make that routing part of the control design rather than an afterthought.

If your programme already depends on identity correlation in the SOC, align it with the The 52 NHI breaches Report and the NHI Lifecycle Management Guide so workload evidence, credential governance, and incident response point at the same record.

For practitioners

• Define the runtime events that must reach the SOC Map blocked processes, drift detections, malware findings, process lineage, and compliance failures to the investigation and audit workflows that depend on them. Do not forward only generic alerts if responders need enforcement context.
• Separate compliance evidence from detection noise Route failed benchmarks, non-compliant images, and vulnerability scan failures into long-term reporting workflows so they are not lost among operational alerts. Keep the evidence model distinct from day-to-day triage output.
• Test the collector and token path before production use Verify that the HTTP Event Collector endpoint, service token, and environment-specific port are configured correctly, then confirm that filtered events arrive with the expected fields and timestamps.
• Use dashboard presets only as an on-ramp Treat prebuilt dashboards as a starting point, then tune searches and views to your own cloud native workloads, compliance requirements, and incident response playbooks.

Key takeaways

• Cloud native runtime security is most useful when its evidence lands in the SOC’s main investigation workflow.
• Blocked processes, drift events, and process lineage are stronger incident inputs than posture data alone because they show control action in production.
• Teams should treat event routing, filtering, and evidence retention as governance decisions, not integration plumbing.

Key terms

• Runtime visibility: Runtime visibility is the ability to observe what a workload is doing while it is executing, including blocked actions, drift, and anomalous behaviour. It is more operationally useful than static posture alone because it captures real control events and produces evidence for triage, forensics, and compliance.
• HTTP Event Collector: HTTP Event Collector is a Splunk ingestion mechanism that receives structured events over HTTP using a service token. In practice, it is the bridge that lets another system stream security and audit data into the SOC’s main analytical environment without building a custom pipeline.
• Enforcement context: Enforcement context is the control evidence attached to a security event, such as whether a process was blocked, a policy was violated, or a drift was detected. It tells investigators not only that something happened, but whether the platform actively intervened.
• Process lineage: Process lineage is the chain of parent and child execution events that shows how one process led to another inside a running workload. It helps investigators reconstruct container behaviour, identify the origin of suspicious actions, and distinguish normal execution from abuse.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.

This post draws on content published by Aqua Security: Integrate Aqua and Splunk for Full Visibility Into Runtime Threats. Read the original.