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Enterprise Layer Intelligence
Categories/Cybersecurity/Fleak
Fleak

Fleak

Founded 2024

Normalize, filter, and route security log data across SIEM and cloud storage destinations

Pricing model

Demo

You can use Fleak to collect, normalize, and route security data across your infrastructure. It sits in front of your SIEM to filter high-volume telemetry, sending only critical alerts for immediate correlation while routing secondary logs to cost-effective data lakes or archives. Fleak automatically standardizes disparate log formats into unified schemas like OCSF and detects schema changes in real time. When an upstream schema breaks or drifts, it self-heals by generating updated configurations so your security operations team avoids pipeline maintenance and cuts data ingestion costs.

What Fleak does

Convert disparate log formats to OCSF standardFilter noisy event logs before SIEM ingestionRoute security events to cold storage bucketsDetect upstream schema format changes automaticallyRegenerate broken log parsers without manual codingDeduplicate repeated telemetry events in real timeBuild security data routing workflows with natural languageNormalizes logs into unified schemas like OCSF and UDM automaticallyDetects schema drift and generates updated configurations in minutesRoutes logs based on downstream requirements to SIEM, data lakes, or archivesAllows pipeline creation using plain English descriptionsRuns across managed SaaS, private cloud, on-premises, or air-gapped environmentsFilters and deduplicates events before reaching expensive SIEM destinationsEnsures production data never touches third-party AI models

Pricing breakdown

Pricing model: Book a demo

Frequently asked

SplunkSplunkOktaOktaDatadogDatadogDatabricksDatabricksSnowflakeSnowflakeBigQueryBigQueryClickHouseClickHouse

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Fleak, security data pipeline, SIEM cost reduction, log routing, OCSF normalization, schema drift, threat hunting, telemetry filtering, data lake routing, Splunk, Microsoft Sentinel, Databricks, log parsers, SOC operations, log deduplication