Jupyter
OSINT
OVERVIEW
SpyCloud’s integration with Jupyter Notebook brings identity exposure intelligence into a flexible, code‑driven analytics environment. By leveraging the SpyCloud API within Jupyter, analysts can programmatically query recaptured breach, malware, and phishing data and incorporate that data into advanced investigations, custom analytics, and threat research workflows. This integration supports deep exploration and correlation of identity exposure signals alongside other datasets to uncover patterns and drive faster, more informed decisions.
BENEFITS
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Accelerate Investigations
Perform large‑scale, programmatic analysis of identity exposure data to uncover compromised credentials, infection trends, and hidden risk indicators. -
Customize Analysis
Build tailored queries, models, and visualizations in Jupyter using SpyCloud’s API data to support unique investigative and reporting needs.
HOW IT WORKS
Prebuilt Notebooks offer advanced visualizations, pivot options, and drill downs to extract answers. Analysts connect to SpyCloud’s high‑volume REST APIs from within a Jupyter Notebook session to pull exposure records from phishing attacks, malware infections, and breaches into code cells. Once ingested, this data can be filtered, aggregated, visualized, and correlated with other internal or external datasets to enrich investigative workflows and support advanced threat research.