Top 20 AI GRC Software & Technologies in 2026

As AI systems integrate into business processes, organizations face growing AI governance, risk, and compliance needs. In our prior research, we tested AI risks in practice with an AI bias benchmark, finding persistent bias around race, gender, and socioeconomic assumptions in several models. These findings underscore the importance of AI GRC tools, which help continuously…

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Six Trends That Will Decide Who Wins the Next Decade

Artificial intelligence (AI) is advancing faster than the network that powers it. As Microsoft CEO, Satya Nadella recently warnedthe real limit of AI isn’t the chips… it’s the electricity. Energy has become the main bottleneck in AI, pushing tech giants to create their own energy source and reboot all available energy sources. Whoever gains this…

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DeVry Embeds AI Literacy in All Courses

As artificial intelligence continues to redefine the way we learn and work, DeVry University will integrate AI introduction and skills building into every course by the end of the year. The effort expands on the automation and machine learning program DeVry launched in 2020, adding new AI-focused courses and credentials and integrating AI learning assistants…

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AI Week in Review 26.01.17

Figure 1. Ralph Wiggum has recently been the talk of the AI coding developer community, as Vivek on X explains. The “Ralph loop” in Claude Code adds a “verify and try again” loop to agentic coding tasks. Many users found it remarkably useful for completing some agentic coding tasks, so the method has gone viral….

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Authorization of prognostic AI medical devices

Thomas, JM, Cooney, LM and Fried, TR JAMA intern. Med. 179820 (2019). Article Google Scholar Riley, RD, D. van der Windt, Croft, P. and Moons, KGM (eds.). Prognosis research in health care: concepts, methods, and impact1st ed. (Oxford Univ. Press, 2019). Obermeyer, Z. & Emanuel, E.J. N.Engl. J.Med. 3751216-1219 (2016). Article Google Scholar Collins, GS…

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Zen-AI-Pentest: Open-source AI-powered penetration testing framework

Zen-AI-Pentest provides an open source framework for analyzing and testing systems using a combination of autonomous agents and standard security utilities. The project aims to enable users to execute an orchestrated sequence of reconnaissance, vulnerability analysis, exploitation and reporting using AI guidance and industry tools such as Nmap and Metasploit. It is written to support…

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