Making Threat Graph Extensible: Leveraging the Intermediate Representation to Generate Go Code (Part 2 of 2)

The provided text is an extensive blog post from CrowdStrike, highlighting the company's achievements and advancements in various cybersecurity domains up to the third quarter of 2025. It details CrowdStrike's recognition as a leader in multiple industry reports, including The Forrester Wave for Managed Detection and Response Services in Europe and IDC MarketScape for Worldwide Incident Response Services. The text also discusses the company's efforts in advancing machine learning models for cybersecurity, particularly through projects like EMBER2024, and their innovative use of domain-specific languages (DSL) in improving the Threat Graph data model. Additionally, the post touches on partnerships, such as the one with Qatar's Commercial Bank, and explores the integration of AI in cybersecurity to enhance performance and scalability. The narrative reflects on the challenges faced and successes achieved in transitioning to DSL-driven processes, emphasizing improved efficiency and system scalability.

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