Last week, OpenAI announced and released its latest multimodal model named GPT-4. In contrast to its predecessor, GPT-3, it is more knowledgable, creative, handles lengthier text input, and is capable of interpreting images. The company claims that the new technology “exhibits human-level performance on various professional and academic benchmarks.” While…

An example of how to deploy a Detection-as-Code pipeline — Introduction I won’t get into the details of why Threat Detection teams should consider implementing Detection-as-Code. Anton Chuvaki and Kyle Bailey have both written excellent Medium articles that detail its benefits and how it can improve a Threat Detection operation by enabling better collaboration, testing, deployment and lifecycle management of detection…

Throughout the course of my career working in various blue team roles, I’ve noticed a major disconnect in the terminology that is used in attempt to describe the various components of threat detection. In this post, I would like to propose some defintions for some of these terms. I hope…

Introduction Over a few long, cold winter weekends, I spent some time exploring the concept of serverless Python application architecture in AWS. After learning more about the AWS technologies that drive a serverless application architecture, I began to envision how they could be applied in a manner similar to how many…