A whole bunch more code means you get a couple of additional risk points. That opens the world up not only to a whole bunch of more code, but a whole bunch of more coders. An almost total newbie can ask ChatGPT to write them a PowerShell script to, for instance, make some change on some type of service that their team uses. Kaspersky briefing: ChatGPT and the language of cybersecurityĪnd the point about democratized coding is that anyone can do that. I can ask GitHub Copilot in Visual Studio, I can add in a language I’ve never coded in, and something that I don’t know how to do, and say “Write me some code in this language, it should do this, that, and the other.” And it will. I can explain what I need ChatGPT to write, and it will do it. The rise of generative AI that can write code, whether it be something like ChatGPT or GitHub Copilot, means you can write code with prompts. Show me the risk!Īnd in business, you could be a Go developer, a Java developer, you might even be a data scientist specializing in Python coding. Back in the day, that was 100% what I’d do, I’d sit down and draw architecture, then write code. If you were going to learn a machine language, you needed to have some expertise, some learning.Īnd more than likely, when you were developing code, if you were part of a business, you were part of an organized developer team. It used to be the case that if you were going to develop code, you needed to have some expertise, just like learning any language. So – what’s the risk of AI generative coding? Come to that, is there a risk to AI generative coding? We spoke to Kevin Bocek, VP of Ecosystem and Community at Venafi, a company that specializes in machine identity management and application outage prevention, to ask whether we were just being too gloomy about the downside of digital democracy – or whether there really is a downside to a future of AI-generated, democratized coding after all. As ChatGPT enters the workplace, should you be worried about your job?
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