Exploding log volumes drive up infrastructure costs and bury critical threats in noise. Kron Telemetry Pipeline solves this by processing, filtering and aggregating data in motion. In this new release, we show you how to cut SIEM costs by 40–60% , secure instant regulatory compliance, and simplify your pipelines in minutes—no deep DevOps expertise required.
Join our experts for live demos and real-data simulations to discover how 200+ integrations, intelligent routing and data tiering can future-proof your architecture.
Reserve your spot today to learn how to manage your data stream efficiently, slash your SIEM ingestion bills permanently, and execute risk-free cloud SIEM migrations.
The Problem: Without intelligent routing, all telemetry flows to your most expensive destination by default, driving up ingestion costs without improving detection.
The Solution: Route high-fidelity events to your SIEM, archive long-term data to a Security Data Lake, and drop low-value noise at the pipeline layer.
The Problem: Credentials, API keys, and PII traveling inside your log streams are expensive and incomplete to redact once they hit a SIEM or data lake.
The Solution: Pattern-based and ML-assisted real-time masking that secures data before it lands anywhere, ensuring GDPR and PCI-DSS compliance.
The Problem: Proprietary ingestion formats tie your architecture to a single vendor, causing migration projects to fail at the data layer.
The Solution: Leverage 200+ integrations and open formats (OCSF, OTel). Run old and new SIEMs in parallel and normalize schemas without touching a single source agent.
The Problem: SIEM migration projects often take significantly longer than planned — sometimes twice as long. The real bottleneck is rarely the SIEM platform itself; it is ensuring that the right data is collected, normalized, and delivered to the new environment without creating visibility gaps during the transition.
The Solution: Kron Telemetry Pipeline makes migration safe: run old and new SIEMs in parallel from a single data stream, and normalize to the new platform’s schema without touching a single source agent.