SecBI provides an advanced threat detection system that uncovers the full scope of cyber attacks, including all affected users, domains, assets, and more. Based on proprietary machine learning technology, SecBI’s solution detects advanced threats that other systems miss, creates a comprehensive incident storyline with autonomous investigation, and enables rapid and accurate mitigation.
SecBI is an advanced threat detection software solution that ingests log data from network security gateways, and applies unique clustering and detection algorithms to detect threats that other vendors miss. Because SecBI’s machine learning technology analyzes every piece of incoming and outgoing log data, it is able to cluster related forensic evidence into a single incident and provide a full narrative of the attack, including all users, devices, communication patterns, and more. This process eliminates fragmentation, investigation fatigue, and excessive searching.
SecBI takes a new machine-learning approach that combines unsupervised clustering and cluster-wide detection to provide full scope detection otherwise not possible for sophisticated cyber attacks.
SecBI’s machine learning technology is specifically designed to empower cyber security analysts by analyzing billions of network event logs, performing autonomous investigation via dynamical clustering to uncover hidden patterns across multiple computers, prioritizing the threats, and summarizing each threat into an intuitive and interactive report. The analyst receives a summarized incident alert compiled of one or one-million events, without any manual dumpster-diving through the logs.
SecBI is entirely data-driven. There is no need for manual configuration, writing static detection rules or endless tuning and updating. As new evidence arrives, SecBI updates each incident with the new, relevant evidence, ensuring that users always see the most accurate analysis.