An introduction to automated LLM red teaming

Introduction As large language models become increasingly embedded in production applications, from customer service chatbots to code assistants and document analysis tools, the security implications of these systems have moved from theoretical concern to practical necessity. Unlike traditional software security testing, LLM red teaming addresses unique challenges: prompt injection attacks, data leakage through carefully crafted … Continue reading An introduction to automated LLM red teaming →

AI in Cybersecurity: Bridging the Gap Between Imagination and Reality

Introduction In today's digital environment, we encounter a mix of evolving cyber systems and the complexities they introduce. One notable influence in this space is artificial intelligence (AI), alongside associated technologies such as machine learning, which offer promising avenues for reshaping cyber strategies. Traditionally, cybersecurity has operated with definitive parameters, set boundaries, and post-event counteractions. … Continue reading AI in Cybersecurity: Bridging the Gap Between Imagination and Reality →

Transforming search sentences to query Elastic SIEM with OpenAI API

In this blog post, we will explore how a powerful language model by OpenAI can automate the and bridge the gap between human language questions and SIEM query language.

An Innocent Picture? How the rise of AI makes it easier to abuse photos online.

Introduction The topic of this blog post is not directly related to red teaming (which is my usual go-to), but something I find important personally. Last month, I gave an info session at a local elementary school to highlight the risks of public sharing of children’s pictures at school. They decided that instead of their … Continue reading An Innocent Picture? How the rise of AI makes it easier to abuse photos online. →