CrowdStrike data science researchers recently explored and experimented with the use of Bidirectional Encoder Representation from Transformers (BERT) for embedding command lines, focusing on anomaly detection, but without detailing the model itself. Diving deeper into that research, CrowdStrike researchers explain the reasons for using BERT for command line representation and how to train the model and assess its performance.
Imagine having to manually provision and configure every device in a large corporation. Then visualize the upgrade process. How about patching? Then, picture ensuring conformity on every device. Next, add some enterprise-wide IT governance changes that must be implemented. The process would be daunting, to say the least, every time.
Cyberattacks are fast becoming a part of our daily lives. Multiple sources such as Norton Security and Forbes suggest that since the pandemic, attacks are not only increasing in number, but they are becoming more targeted and sophisticated. The attackers using Ransomware as a Service and double extortion techniques are prime examples of how sophisticated attacks are becoming these days. Norton Security states that there are more than 2,200 cyberattacks on a daily basis.