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
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.
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.
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.