Datadog Cloud SIEM vs Splunk Asset and Risk Intelligence: Side-by-Side Comparison (2026)

Short answer

Security teams already running Datadog for infrastructure and application observability should adopt Cloud SIEM to correlate security events with the underlying systems generating them; this eliminates the blind spot of traditional SIEMs that ingest logs in isolation. The platform covers continuous monitoring and incident response (NIST DE.CM and RS.MA), with multi-cloud log ingestion across AWS, Azure, and GCP built in rather than bolted on. Skip this if your priority is forensic depth or compliance reporting; Cloud SIEM is built for detection speed and operational context, not exhaustive audit trails. Mid-market and enterprise security teams buried under unmanaged assets and shadow infrastructure will get real value from Splunk Asset and Risk Intelligence because it actually finds what you don't know you have across networks, endpoints, cloud, and OT environments, then correlates that data against vulnerabilities in real time. The bi-directional ServiceNow CMDB integration means your inventory stays current without manual toil, and the compliance dashboards deliver measurable progress on NIST ID.AM and ID.RA controls that most teams struggle to demonstrate. Skip this if you need a point solution; it's designed to feed into Splunk Enterprise Security as part of a larger investigation workflow, not stand alone.