The challenge
Regain full security visibility across your environments
Critical telemetry is often disabled, delayed, sampled, or downgraded as environments expand across cloud services, identity systems, endpoints, and Kubernetes. Over time, these small gaps add up. Detections miss context, investigations stall, and teams assume coverage that isn’t actually there.
The Solution
DataStream – a visibility control layer for security data
Bring more security data into view
DataStream makes it easy to onboard a broad range of security data sources. Flexible collection options remove the burden of constant deployment, patching, and maintenance, so visibility can be expanded without increasing operational overhead.
Normalize, enrich, and validate data as sources evolve
Security data is normalized and enriched with the context analytics tools expect and built‑in schema‑drift detection surfaces format and field changes, so detections and investigations work consistently across sources.
Preserve security context and route data to the right tier
Risk-free filtering reduces noise without compromising security context, and intelligent routing ensures that detection-critical data flows to analytics while bulk or long-term telemetry flows to lower-cost tiers. This preserves security visibility and keeps investigations effective.
Built for reliability at scale
High‑availability deployments with clustered Directors and WAL‑backed pipelines ensure continuous processing and zero data loss, even during failures, bursts, or downstream outages.
Key benefits
Why this approach works
Impact
Stronger visibility without higher SIEM spend
- Detection‑critical data consistently available in real time
- Reduced investigation failures due to missing or delayed logs
- Long‑term retention preserved in low‑cost storage
- Fewer false assumptions about coverage and data completeness
Frequently asked questions
What happens if a SIEM or storage target becomes unavailable?
DataStream uses WAL‑backed buffering to persist data and pipeline state on disk. If a downstream target is slow or unavailable, data is not dropped; processing automatically resumes once the destination recovers, ensuring continuous visibility without data loss.
How does DataStream expand security visibility without overwhelming the SIEM?
DataStream increases visibility upstream, before ingestion. Detection‑critical data is preserved and prioritized for analytics, while noise, bulk telemetry, and long‑term data are filtered or routed to lower‑cost tiers, so visibility improves without flooding the SIEM.
How do teams know detections keep working as log formats change?
Log formats and fields change frequently across cloud services and platforms. DataStream normalizes data before analytics and detects schema drift early, surfacing changes that could affect detections so teams can address issues before visibility or correlation breaks.
Do teams have to manually decide which data is detection‑critical?
No. DataStream applies a risk‑free processing framework that preserves security‑relevant context by default. Teams can refine or override these decisions over time, but they don’t need to make complex upfront choices to maintain reliable visibility.
Does this overlap with SIEM features?
No. DataStream complements SIEMs by ensuring the data they rely on is complete, timely, enriched, and normalised before analytics and detections run.
Get DataStream on Azure Marketplace
Deploy DataStream in minutes with Azure Managed Identity support built in. No credential management, no manual setup.