Fleak

Fleak is a file organizer tool. A pipeline layer that normalizes and routes security logs in front of the SIEM, cutting ingest volume and repairing schema drift automatically.

Fleak is a data pipeline layer that sits in front of a SIEM rather than replacing it. It connects to log sources across EDR, identity, cloud audit, network, SaaS and OT, normalizes each event to a shared schema (OCSF, UDM or a custom one), then routes it based on what the destination actually needs. Event types that feed real-time correlation go to the SIEM at hot-path prices. Threat-hunting corpora land in a data lake at object-storage rates. Compliance logs move to an archive. Noise is dropped before it costs anything to store. The product is aimed at security operations teams carrying a large SIEM bill for telemetry nobody alerts on. Instead of maintaining one parser per source (the company cites a scenario of roughly 280 sources and 280 schemas), operators describe the pipeline in plain English and Fleak's copilot generates the configuration. A deterministic execution engine runs it, and production data is kept away from AI models, which is a meaningful distinction for regulated buyers. The self-healing behavior is the other differentiator. When an upstream vendor renames a field or changes a log format, Fleak detects the drift, generates a corrected config and either redeploys or waits for approval. The vendor quotes an average heal time of three minutes. Deployment options span managed SaaS, the customer's own cloud, on-premise and air-gapped environments, with access control enforced at the data layer and a full transformation audit trail. The company reports SOC 2 Type II. Where Fleak fits: it competes less with SIEM platforms and more with hand-built pipelines and rules-based filtering tools, which break when schemas change. It also serves industrial and financial teams that need consistent telemetry for predictive models or fraud detection. Expect a sales-led engagement rather than self-serve signup, and expect to bring a specific noisy source to the first call.