Evaluating AI Models' Capability to Automate Voice Phishing Attacks

Voice phishing vishing attacks have traditionally been limited by the need for human operators. The rapid emergence of high-quality AI voice synthesis and large language models LLMs reduces this bottleneck and enables scalable, automated scams. In this paper, we conduct a large-scale survey...

Policy Design in Zero-Trust Distributed Networks: Challenges and Solutions

Traditional security architectures are becoming more vulnerable to distributed attacks due to significant dependence on trust. This will further escalate when implementing agentic AI within the systems, as more components must be secured over a similar distributed space. These scenarios can be...