Security data pipeline market guide 2026

A security data pipeline sits between the systems that produce security logs and the tools that use them. It collects events from firewalls, endpoints, cloud services and identity providers, then filters, reshapes, enriches and routes them before they reach a SIEM or a data lake.

Teams usually buy one for cost. Most SIEMs charge by the volume of data they take in, and much of that volume is repeated or low value. A pipeline lets a team send the SIEM only the events it uses for detection, and keep the rest somewhere cheaper but still searchable.

What the numbers say

The SIEM is rarely short of data. The CardinalOps 2025 State of SIEM report found that SIEMs take in an average of 259 log types from nearly 24,000 log sources, enough telemetry to detect more than 90% of MITRE ATT&CK techniques. Yet they miss 79% of the techniques adversaries use, because detection rules are still written and tuned by hand.

Managing that data is also a skills problem. In Red Canary's 2025 Security Operations Trends Report, 70% of in-house SOC teams reported a shortage of SIEM data management skills, and 54% of organisations already used AI for SIEM data management.

Many teams are looking at alternatives. In Sumo Logic's 2025 security operations survey, 73% of security leaders said they were reassessing their SIEM, and 95% of those weighing new options named flexibility as critical. Its January 2026 report found that 90% of security operations leaders rate support for multi-cloud and hybrid-cloud data sources as very or extremely important for their SIEM.

What a security data pipeline does

Collection comes first. The pipeline receives logs from agents, syslog, cloud APIs and message queues, so each source only has to be connected once.

Reduction is the step most buyers care about. The pipeline drops duplicate events and fields that no detection rule reads. It also summarises noisy sources such as firewall and DNS logs. The aim is to cut volume without cutting what the security team needs to see.

Normalisation turns each vendor's log format into one schema, so a detection rule works whatever the source. Many products now support OCSF, the Open Cybersecurity Schema Framework, an open schema started in 2022 that moved to the Linux Foundation in November 2024.

Enrichment adds context on the way through, such as the user behind an IP address or a threat intelligence match.

Routing sends each event to the right place. High-value events go to the SIEM and the full record goes to low-cost storage. Good pipelines keep the stored data searchable and can send events back to the SIEM later when an investigation needs them.

What to check before you buy

Start with your own sources and destinations. Ask each vendor to show the connectors for your top ten log sources and for your SIEM, and check whether they are built and maintained by the vendor or left to you.

Ask how the product decides what to drop. Reduction that ignores your detection rules can save money and quietly create blind spots. The useful test is detection coverage before and after, measured on your own data.

Check where the data goes when it leaves the SIEM. Storage is only cheap if you can still search it, and only useful if you can get events back into the SIEM quickly when you need them.

Look at schema support. If you plan to change SIEM or run more than one, a pipeline that normalises to an open schema such as OCSF makes the move easier.

Find out who will run it. That depends on the product. Some are built for data engineers and expose every setting, others are built for security operations teams and handle the tuning for them.

Ask about deployment and pricing. Some products run as a cloud service and some inside your own environment. Most charge by data volume, so compare prices at your real daily volume, not a sample.

Run a trial on real data. A short test on one heavy source, usually firewall logs, over about a week shows the volume saved and any effect on detection coverage before you commit.

Who sells security data pipelines

The vendors fall into two groups. Specialists sell the pipeline as their main product. Larger security and data companies sell a pipeline as part of a SIEM or an observability suite.

Who owns them

The market consolidated quickly in 2025. Two large security platforms bought specialists to feed their own SIEMs. CrowdStrike agreed to buy Onum for about $290 million in August 2025, and SentinelOne agreed to buy Observo AI for about $225 million in September 2025. In July 2025 Monad took over Tarsal, and in April 2026 Dynatrace agreed to buy Bindplane, the OpenTelemetry pipeline formerly called observIQ.

The best-funded independent specialist has started buying too. Cribl bought CardinalOps, a detection engineering company, in July 2026 and Radiant Security's AI SOC technology in August 2026, which takes it beyond moving security data into analysing it.

For buyers, a vendor owned by a security platform may work best with that platform's own SIEM. It is worth asking how long other destinations will stay supported.

Who funds them

Investors kept backing independent specialists. Cribl raised a $319 million Series E in August 2024. DataBahn raised a $17 million Series A in June 2025 and a $40 million Series B in July 2026. Realm Security raised a $15 million Series A in October 2025, and Axoflow raised a $7 million seed round in January 2025.