We've built an app that solves one of the most tedious problems in security engineering - normalizing diverse log formats into a standard schema (OCSF). Security teams typically spend months manually mapping proprietary log formats to work with their tools, costing organizations millions annually in integration costs.

Our approach:

AI-assisted mapping that analyzes your logs and suggests appropriate OCSF mappings Support for both structured JSON logs and unstructured text logs Real-time validation against sample logs as you develop Export portable config files that can run in production with our open-source execution engine

The app is free for the community: https://app.ocsf.fleak.ai/

Break our AI, Win a Chair: We've also launched a challenge with our log classifier AI. Try to stump our classifier with unusual security logs at https://ocsf-classifier.fleak.ai. Winners who successfully "break" our AI will receive a camping chair at our RSAC booth (ESE-65) next week! This helps us improve our models while you test your security knowledge.

We've open-sourced the execution engine (ZephFlow) that powers the production deployments: https://github.com/fleaktech/zephflow-core

Looking for feedback on usability, especially from security engineers who've dealt with log normalization. We're also building a library of templates for common security logs - if you have particular log types that need mapping, we'd love to help create templates for them.