Abstract

Cybersecurity teams often struggle to manage the constant stream of threat intelligence and industry news. Manually filtering through every article is repetitive and often slows down response times. To solve this, our team developed Clarion to extract structured data from unstructured blog posts and news reports automatically. The platform uses large language models to let users find threat actors or build threat hunting queries using simple questions instead of complex syntax. Clarion also compares new threats against customizable organization profiles to highlight the most relevant risks. Built-in whitelisting filters out the noise while automated webhooks push critical updates to the team in real time. Clarion handles the initial sorting and analysis so cybersecurity teams can focus on defending their network instead of sorting through articles.