Researchers at the University of Kansas Center for Innovation, Design & Digital Learning (CIDDL) have published a new framework for the responsible implementation of artificial intelligence at all levels of education.
While large language models have been touted for their potential in cybersecurity, they are still far from executing real-world cyber attacks — unless given help from a new kind of abstraction layer, according to researchers at Carnegie Mellon University and Anthropic.
Academic environments face heightened risk because their collaboration-driven environments are inherently open, making them more susceptible to attack, while the high-value research data they hold makes them an especially attractive target. The question is not if this data will be targeted, but whether universities can defend it swiftly enough against increasingly AI-powered threats.
DevOps platform provider JFrog is taking aim at a growing challenge for enterprises: users deploying AI tools without IT approval.