Upcoming events include the SCUP 2024 Annual Conference, 2024 Distance Teaching and Learning Conference and Summit for Online Leadership an Administration + Roundtable, and IEEE ICICLE Learning Engineering Conference.
A new survey of CISOs by Bugcrowd indicates AI is already beating security pros in some areas and is expected to take on a larger role in the future.
In an effort to clarify the potential risks of GenAI and provide "a concrete understanding of how GenAI models are specifically exploited or abused in practice, including the tactics employed to inflict harm," a group of researchers from Google DeepMind, Jigsaw, and Google.org recently published a paper entitled, "Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data."
Amazon Web Services has announced a $50 million fund that will give public sector organizations a chance to tap into its portfolio of cloud-based AI tools.
Learning platform D2L is launching a new AI-powered product, D2L Lumi, designed to help educators create course content, assignments, quizzes, and more.
Cloud AI services have moved from the "slope of enlightenment" to the "trough of disillusionment," according to Gartner's latest report on AI trends.
The human factor is still one of the biggest threats to cloud security, despite all the technology bells and whistles and alerts and services out there, from multi-factor authentication, to social engineering training, to enterprise-wide integrated cybersecurity platforms, and more.
IBM and Microsoft have announced a "strengthened cybersecurity collaboration" aims at fortifying their joint customers' cloud environments.
Students, faculty, and staff at Bryant University have a new resource for accessing information, receiving guidance, and keeping up with campus events. The institution recently launched a generative AI chatbot developed in partnership with AI and intelligent automation solution provider alliantDigital.
In a new study from the University of Illinois Urbana-Champaign (UIUC), researchers demonstrated that large language model agents can autonomously exploit real-world cybersecurity vulnerabilities, raising critical concerns about the widespread deployment and security of these advanced AI systems.
