This survey explores the transformative role of Generative Artificial Intelligence (GenAI) in
enhancing the trustworthiness, reliability, and security of autonomous systems such as …

Language Model (LM) agents for cybersecurity that are capable of autonomously identifying
vulnerabilities and executing exploits have the potential to cause real-world impact …

This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …

As machine intelligence evolves, the need to test and compare the problem-solving abilities
of different AI models grows. However, current benchmarks are often simplistic, allowing …

Cyber timeline analysis or forensic timeline analysis is critical in digital forensics and
incident response (DFIR) investigations. It involves examining artefacts and events …

The detection of security vulnerabilities in software design patterns and antipatterns is
crucial for maintaining robust and maintainable systems, particularly in dynamic Continuous …

The proliferation of Generative Artificial Intelligence (GenAI) has driven significant innovation
but also introduced new security risks, particularly in social engineering attacks such as …

The prospect of artificial intelligence (AI) competing in the adversarial landscape of cyber
security has long been considered one of the most impactful, challenging, and potentially …

With the rapid advancement of Large Language Models (LLMs), significant safety concerns
have emerged. Fundamentally, the safety of large language models is closely linked to the …

Large Language Models (LLMs) have shown remarkable advancements in specialized
fields such as finance, law, and medicine. However, in cybersecurity, we have noticed a lack …