Generative AI has been getting a lot of attention lately.
ChatGPT, Dall-E, Vall-E, and other natural language processing (NLP) AI models have taken the ease of use and accuracy of artificial intelligence to a new level and unleashed it on the general public.
While there are a myriad of potential benefits and benign uses for the technology, there are also many concerns—including that it can be used to develop malicious exploits and more effective cyberattacks.
The real question, though, is, “What does that mean for cybersecurity and how can you defend against generative AI cyberattacks?”
Nefarious Uses for Generative AI
Generative AI tools have the potential to change the way cyber threats are developed and executed.
With the ability to generate human-like text and speech, these models can be used to automate the creation of phishing emails, social engineering attacks, and other types of malicious content.
If you phrase the request cleverly enough, you can also get generative AI like ChatGPT to literally write exploits and malicious code. Threat actors can also automate the development of new attack methods.
For example, a generative AI model trained on a dataset of known vulnerabilities could be used to automatically generate new exploit code that can be used to target those vulnerabilities.
However, this is not a new concept and has been done before with other techniques, such as fuzzing, that can also automate exploit development.
Source: Forbes
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