O2, a telecommunications company, has launched an AI-powered tool named “Daisy” designed to combat phone scams. Daisy simulates a real-life grandmother who engages scammers in lengthy, meandering conversations, wasting their time and potentially disrupting their operations. The tool is powered by AI and trained on a vast dataset of real-world interactions with scammers, enabling Daisy to respond realistically and effectively. By engaging scammers in lengthy conversations, Daisy aims to deter them from targeting potential victims and disrupting their efforts. This innovative approach to combating scams leverages AI to provide a valuable service to consumers.
The OWASP (Open Web Application Security Project) has released new security guidance for organizations running generative AI tools. The updated OWASP Top 10 for LLM focuses on addressing the growing threat of deepfakes, providing recommendations for risk assessment, threat actor identification, incident response, awareness training, and various event types. Additionally, the guidance advocates for establishing centers of excellence for gen AI security to develop security policies, foster collaboration, build trust, advance ethical practices, and optimize AI performance. This new guidance highlights the increasing need for a more comprehensive approach to securing AI and machine-learning tools, as attackers leverage AI to create more sophisticated and advanced threats.