"It's still at the research stage and is like stunt hacking. Right now, according to Darktrace chief product officer Max Heinemeyer, the world is still in the early stages in terms of understanding how AI might be misused. This includes Darktrace PREVENT and DETECT, two modules of a platform its makers claim uses AI to analyze threats in a way that feeds back into real time detection and response. One company that has invested in this idea from the start is Darktrace, which has spent years building a defensive platform based on unsupervised machine learning AI. But if today's defensive technologies will soon be outclassed perhaps, logically, the antidote to that lies in AI itself. This presents a huge detection challenge. What makes them ransomware is not the code itself but their combination and the purpose behind them. How can we distinguish one from the other? Many hypothetical malevolent AI creations – the code used in ransomware for example – comprise functions that have perfectly legitimate uses. AI can be used to do a wide range of things, some positive, some far less so. Phishing emails are far from the only potentially malevolent use of generative AI, but they are totemic of a deeper issue. This new generation of LLM-driven chatbots are good at language - any language. Now imagine that many genuine support emails are already being written by chatbots to save time, and it's not hard to see that the real and the simulated could quickly become indistinguishable. In language at least, these were impossible to distinguish from a well-composed, genuine support email written by a native speaker. Not only did it correct grammatical mistakes, it added additional sections that made them sound even more authoritative. This author proved this by feeding ChatGPT real phishing 'security alert' emails to see how it might improve them. With the smartphone, that network can go anywhere and everywhere. With the web you can connect the PC to a global information network. With the PC you can put an affordable one on everyone's desk. With microprocessors, you can build small computers. But there's no doubt that its very public arrival through chatbots such as OpenAI's ChatGPT and Google's Bard has fired a jolt of destabilizing energy into computing as a whole, and cybersecurity as a discipline. The idea that AI is a big deal is nothing new and the generative AI that has made headlines is only one subsector of AI development. Generative AI, the result of decades of research into neural networking and Generative Adversarial Networks (GANs), is widely seen as the next candidate on this list. These are the technologies whose appearance began new eras that completely reshaped the industry around them. Sponsored Feature Change in the tech industry is usually evolutionary, but perhaps more interesting are the exceptions to this rule – the microprocessor in 1968, the IBM PC in 1981, the web in 1989, the smartphone in 2007.
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