Search Results for "ingest"

Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative...

StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries...

We have migrated development of Sagacity to GitHub at https://github.com/cyberperspectives/sagacity Sagacity is a vulnerability assessment and STIG compliance data management tool designed to make security testing more efficient, effective and complete. Security assessments, especially those done for DoD and Federal organizations, produce tremendous amounts of scan and compliance data that security engineers must sort through and deconflict, identify untested requirements, and somehow...