AI

Text classification in the age of LLMs

As natural language processing (NLP) advances, text classification remains a foundational task with applications in spam detection, sentiment analysis, topic categorization, and more. Traditionally, this task depended on rule-based systems and classical machine learning algorithms. However, the emergence of deep learning, transformer architectures, and Large Language Models (LLMs) has transformed text classification, allowing for more…Continue Reading: Text classification in the age of LLMs

Skill up your security: How defenders can harness AI

How can defenders identify and resolve security issues faster with Red Sift Radar, and what does it have to do with the movie Tenet? That was the key theme of this year’s 16th e-Crimes & Cybersecurity Mid-Year Summit education session, featuring Billy McDiarmid. If you missed the event, don’t worry—we’ve got you covered with three…Continue Reading: Skill up your security: How defenders can harness AI

What is the adversarial impact of generative AI?

Generative AI is bringing about transformations across areas of human output. As with all prior technological revolutions, it is no surprise that doomsayers have again taken center stage. Although it is our firm belief that these technologies will be an overwhelming net force for good (this is covered in other articles in this series), it is naive to think that they won’t also be used effectively by adversaries who are out to harm us…Continue Reading: What is the adversarial impact of generative AI?