Abstract Pipelines
Collects security data from any source, normalises it in the pipeline and routes it to several destinations.
Security logs are so expensive to collect and keep that teams drop the ones they need when an incident happens.
A pipeline between your log sources and your security tools that filters, reduces and reshapes the data before anyone pays to store it. Noise is dropped or summarised, personal data is masked or pseudonymised, formats are standardised, and a full copy goes to low-cost storage. When an investigation needs older or dropped data, it can be searched where it lies or replayed into the SIEM.
SIEM bills grow with data volume, so many organisations either overspend or quietly stop collecting logs they cannot afford, and those are often exactly the logs an incident responder needs later. A pipeline cuts what reaches the expensive tools, especially from noisy sources such as firewalls and DNS, while keeping everything in cheap storage for the retention periods regulators expect. Masking personal data before it leaves its source supports GDPR data minimisation, and standard formats make it easier to change SIEM later without losing history. Judge it on detections kept, not only on volume saved: dropping the wrong field can blind a detection rule.
A starting point: set the owner and measure to fit your organisation.
Listed alphabetically by vendor. A listing is not a recommendation: use the questions above to compare them, or tick up to 3 to see them side by side.
Collects security data from any source, normalises it in the pipeline and routes it to several destinations.
Data lake for security data in Parquet format, searchable in place without rehydration.
Automates collection, curation and routing of security data, with built-in storage and search so data can be replayed or rehydrated into any tool.
Managed data lake for IT and security telemetry in open formats, to store data cheaply and search or replay it later.
Collects, reduces, redacts and routes data between sources and tools, keeps a full-fidelity copy in low-cost storage, and replays it when needed.
Real-time telemetry pipeline from CrowdStrike's purchase of Onum. It filters and streams data into Falcon Next-Gen SIEM and can run detections on third-party data before it is stored.
Collection at the edge, transformation and routing of security data to SIEMs and data lakes, with an AI agent for managing the pipelines.
Pipelines that process logs, metrics, traces and security events before they are indexed, with masking, hashing and pre-built packs, and a full-fidelity copy in object storage for rehydration.
Reduces, enriches and routes security data to SIEMs, data lakes and AI SOC tools, with a privacy guard that redacts fields and searchable retention that can resupply data later.
Security data pipeline that normalises and routes telemetry and detects threats while the data is in motion, to cut lag and storage costs.
Security data pipelines from SentinelOne's purchase of Observo AI: reduce noisy telemetry, convert data to OCSF and speed up SIEM migrations.
Pipelines that collect, shape, enrich and route security data, with an open-source core and free and commercial editions.
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