Part 1 of the article introduced the topic of machine learning based on the example of spam analysis and described the first three types of machine learning - supervised, reinforcement and unsupervised learning. The remaining two types of machine learning – semi-supervised and active, are discussed in the [...]
The first two articles in our series on AI recognition, Human or machine? Distinguishing between real and AI-generated content and GBS tests the most popular tools for AI content detection, already presented methods and tools that can be used to analyze whether a (text) content was created by [...]
In our previous blog article, we dived into the topic of identifying AI-generated texts. Dr. Rolf Kremer, R&D Manager at GBS, presented methods for analyzing the content of documents or emails to determine whether they were written by a human or an artificial intelligence (AI). In this blog post, [...]
More and more frequently, we hear about AI-generated phishing attacks that are indistinguishable from real emails and deepfake content that looks like written by professional journalists. In recent years, AI-based systems are continuously improving so that they can now independently generate content such as text, graphics, images and [...]
In the dynamic landscape of cybersecurity, organizations invest significant resources in fortifying their digital defenses against an ever-evolving array of threats. The statistics that 85% of successful attacks are due to human error has lead organisations across the globe to finally realise the importance of training their employees [...]
As we usher in a new year, the cyber security landscape continues to evolve at an unprecedented pace, presenting both opportunities and challenges for organizations worldwide. Reflecting on the lessons learned in 2023 and anticipating the emerging threats of 2024, it becomes evident that only a proactive and adaptive [...]
