Demo: 95% accuracy. Production: 27% accuracy. The culprit? Your AI models are fluent in vendor demos but can't speak the dozens of data dialects flooding your actual security environment.

Security teams invest in AI but see no ROI because they're building on a broken data foundation. This isn't a security failure; it's a data engineering problem solved by prioritizing high-quality, normalized data over raw volume.

Transform Okta logs to OCSF for analysis in Databricks. This guide covers automated mapping with Fleak, building a data pipeline with ZephFlow, and querying your logs in a Delta Lake. Simplify your security analytics workflow now.

The OWASP 2025 LLM Top 10 is here, targeting real-world attacks. Our guide for engineers breaks down new threats like Vector Security and Prompt Leakage, offering practical tips to secure your LLM apps from sophisticated exploits.

In Part 2, we build the final stage of our pipeline. Learn to stream OCSF logs to S3 as Parquet using Kinesis Firehose, a Glue schema, and a Zephflow sink, making your data ready for large-scale analysis.

In part one of our series with Cardinal, learn to transform AWS VPC logs into the query-ready OCSF format. We'll build a streaming data pipeline using Fleak's OCSF Mapper, Zephflow, and Kinesis.