The adoption of large language models (LLMs) and Generative Pre-trained Transformers (GPTs), such as ChatGPT, by leading firms like Microsoft, Nuance, Mix and Google CCAI Insights, drives the industry towards a series of transformative changes. As the use of these new technologies becomes prevalent, it is important to understand their key behavior, advantages, and the risks they present.
The increased adoption of technologies like artificial intelligence (AI), machine learning (ML), large language models (LLMs), and high-performance computing (HPC) underscores the growing need to prioritize the security of graphics processing units (GPUs).
Generative AI continues to be misused and abused by malicious individuals. In this article, we dive into new criminal LLMs, criminal services with ChatGPT-like capabilities, and deepfakes being offered on criminal sites.
Distributed energy generation (DEG) is a term used to describe the shift from centralized energy generation, such as power companies, to a source — typically a renewable energy source — closer to the user.
Im Zuge der kontinuierlichen Weiterentwicklung und Ausweitung von Technologien erleben Unternehmen ein technologisches Paradoxon: Zunehmende Interkonnektivität bedeutet, dass Unternehmen gleichzeitig stärker verteilt arbeiten.
We probed the Azure Machine Learning (AML) service to identify security flaws and vulnerabilities and shed light on the unseen aspects of silent threats in managed services like AML.
The lack of encryption and authentication mechanisms in the GTP-U protocol between base stations and 5GC UPFs could allow cybercriminals to use a packet reflection vulnerability to carry out attacks on 5G devices in internal networks.
This report delves into the nature of pig-butchering scams, how scammers carry out their operations, the new pig-butchering tactics we’ve observed in the wild, and what individuals can do to avoid falling for these fraudulent investments and dealing with massive amounts of debt.
We explore three differently sized criminal groups to determine how they compare to similarly sized legitimate businesses in terms of how they are organized. We also discuss the advantages of knowing the size of a target criminal organization for cybercrime investigators.