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Your AI Bill Spiked. Here's How to Find Out Exactly Why.

Published on Sep 1, 2026 • 14 min read

Yichen Jin Co-Founder & CEO, Fleak

Featured Articles

Fleak vs. Cribl: A Total Cost of Ownership Comparison

Fleak and Cribl both route and reduce telemetry in front of Splunk, but their total cost of ownership differs. Cribl pipelines are authored by hand, so cost scales with engineering headcount. Fleak generates pipelines with AI, prices per source rather than data volume, and, by its own figures, onboards sources in about 3 minutes and cuts integration cost by about 90%.

Oct 6, 2026 • 8 min read

Tony Mao COO, Fleak

Data Mapping vs. Schema Mapping: What's the Difference?

Schema mapping involves specifying a schema relationship between source and target fields in the SIEM‚ such as srcip and src_ip for Splunk CIM or SrcIpAddr for Microsoft Sentinel ASIM․ Data mapping encompasses a wider range of activities involving the actual data values‚ including parsing‚ normalization‚ lookup‚ and other data filtering operations․ Schema mapping is a subset of data mapping functions․ SecOps use cases require both schema and data mapping․

Oct 5, 2026 • 8 min read

Tony Mao COO, Fleak

What Is Schema Mapping in Security and Observability Data Pipelines?

Schema mapping is the process of normalizing log and event data‚ including field names and values‚ from the source tool format to the format expected by the target tool‚ such as a SIEM or other analytics tool․ Schema mapping is important because different target tools have different data models‚ or formats‚ such as Splunk's CIM‚ Microsoft Sentinel's ASIM‚ and Google SecOps' UDM․ To use the same log or event data in multiple target tools for detection and other purposes‚ you may need to map it to different formats․

Oct 2, 2026 • 6 min read

Tony Mao COO, Fleak

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