Artificial Intelligence

Businesses worldwide are increasingly moving to the cloud. The demand for remote work, for instance, has driven a surge in cloud-based services, offering companies the flexibility and efficiency that traditional data centers often lack.

Elections are the cornerstone of modern democracy, an exercise where a populace expresses its political will through the casting of ballots. But as electoral systems adopt and embrace technology, this introduces significant cybersecurity risks, not only to the infrastructure supporting an election but also to the people lining up in polling booths.

The cybercriminal abuse of generative AI (GenAI) is developing at a blazing pace. After only a few weeks since we reported on Gen AI and how it is used for cybercrime, new key developments have emerged. Threat actors are proliferating their offerings on criminal large language models (LLMs) and deepfake technologies, ramping up the volume and extending their reach.

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.

This article discusses the importance of properly identifying and protecting AI model files and their associated assets, such as labels, from malicious or even unintended tampering.

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.

This report discusses the state of generative artificial intelligence (AI) in the cybercriminal underground: how cybercriminals are using ChatGPT, how they're adding ChatGPT features to their criminal products, and how they’re trying to remove censorship to ask ChatGPT anything.

Die Daten zum Angriffsflächen-Risikomanagement (Attack Surface Risk Management, ASRM) zeigen, dass in den USA, in Brasilien und in Indien im ersten Halbjahr 2023 die meisten Risikoereignisse erkannt wurden.

This report discusses how malicious actors will be able to deploy harpoon whaling attacks, which are highly targeted whaling attacks on specific groups of powerful and high-ranking individuals, by abusing AI tools.