A Digital Twin to Improve Cyber-Social Impact
Read the original on arXiv AI →The Flow has not summarised this story yet — read it at arXiv AI.
The Flow has not summarised this story yet — read it at arXiv AI.
The increasing complexity of Industrial Control Systems (ICS) and their integration with IT infrastructures has significantly expanded the cyber threat landscape. Traditional cybersecurity models, pri...
arXiv:2606. 13079v1 Announce Type: cross Abstract: Nowadays, the autonomous execution of cyberattacks capable of causing substantial real-world harm is widely regarded as one of the critical red lines that frontier AI systems must not cross.
The paper investigates how Security Operations Center (SOC) analysts perceive the integration of Large Language Models (LLMs) into their workflows. Through 25 interviews and interactive scenarios, the authors identify 15 LLM use cases across six functional categories, noting that while LLMs are useful for automating repetitive tasks, they are not yet suitable for high‑impact incident analysis due to limitations in technical depth, context awareness, and organization‑specific knowledge. Despite these concerns, practitioners show a strong willingness to adopt LLMs, driven by competitive pressure and a desire for operational efficiency.
arXiv:2610.07298v1 Announce Type: cross Abstract: Cyber threat analysis increasingly depends on evidence distributed across vendor advisories, vulnerability databases, and threat intelligence sources...
arXiv:2509. 10482v2 Announce Type: replace-cross Abstract: The increasing sophistication of technology systems makes traditional threat modeling hard to scale, especially for small organizations with limited resources.