This winter, Abnormal improved its detection efficacy by leveraging aggregate signals, providing better visibility in D360, blocking calendar spam, and more.
Discover how the Abnormal attack detection team utilizes feature systems, advanced language models, and per-customer understanding in our approach to machine learning in cybersecurity.
This quarter, Abnormal launched new features to help security teams improve productivity and save time. Take a deep dive into all of the latest product enhancements.
We are excited to share that Abnormal has recently deployed a BERT Large Language Model (LLM), pretrained from Google on a large corpus of data, and applied it to stop advanced attacks.
This quarter, the team at Abnormal launched new features to improve lateral attack detection, role-based access control (RBAC), and explainable AI. Take a deep dive into all of the latest product enhancements.