How will the rivalry between IT professionals operating on two sides of the barricade, i.e. in the sphere of cybercrime and cyber security, change after the implementation of generative artificial intelligence, Big Data Analytics and other technologies typical of the current fourth technological revolution?
Almost from the very beginning of the development of ICT, the rivalry between IT professionals operating on two sides of the barricade, i.e. in the sphere of cybercrime and cyber security, has been realized. In a situation where, within the framework of the technological progress that is taking place, on the one hand, a new technology emerges that facilitates the development of remote communication, digital transfer and processing of data then, on the other hand, the new technology is also used within the framework of hacking and/or cybercrime activities. Similarly, when the Internet appeared then on the one hand a new sphere of remote communication and digital data transfer was created. On the other hand, new techniques of hacking and cybercriminal activities were created, for which the Internet became a kind of perfect environment for development. Now, perhaps, the next stage of technological progress is taking place, consisting of the transition of the fourth into the fifth technological revolution and the development of 5.0 technology supported by the implementation of artificial neural networks based on artificial neural networks subjected to a process of deep learning constantly improved generative artificial intelligence technology. The development of generative artificial intelligence technology and its applications will significantly increase the efficiency of business processes, increase labor productivity in the manufacturing processes of companies and enterprises operating in many different sectors of the economy. Accordingly, after the implementation of generative artificial intelligence and also Big Data Analytics and other technologies typical of the current fourth technological revolution, the competition between IT professionals operating on two sides of the barricade, i.e., in the sphere of cybercrime and cybersecurity, will probably change. However, what will be the essence of these changes?
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How will the competition between IT professionals operating on the two sides of the barricade, i.e., in the sphere of cybercrime and cyber security, change after the implementation of generative artificial intelligence, Big Data Analytics and other technologies typical of the current fourth technological revolution?
How will the realm of cybercrime and cyber security change after the implementation of generative artificial intelligence?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
As long there are incentives for cyber criminals and the cost outweighs the benefits, the battle between cyber criminals and defence will just use Ai and big data technology to augment their technology.
criminals will use the technology for more tailored and convincing phishing messages, and defense will use technology to improve patching and automatically detect and prevent attacks.
The differentiator can only be regulations, and making the technology harder to use for nefarious purposes seems to be the only way out.
Hi, well you must think in LLMs as a skillful and resourceful "partner in crime" If you fine tune a model, with data from hackers, even if you are mediocre, your skills now will be way beyond your dreams.
But also ciber security will find new kinds of breaches, and how to divert this threats, so is not exactly a new world, but with a major potential from both sides.
Không có bất cứ điều gì là hoàn hảo, tốt không tì vết. Bất cứ gì cũng đều có 2 mặt. Trí tuệ nhân tạo cũng vậy và trí tuệ nhân tạo tổng hợp cũng vậy.
Khi phát minh ra trí tuệ nhân tạo nhằm mục đích phục vụ cho đời sống kinh tế, văn hóa, xã hội thì chắc chắn sẽ có lực lượng đối lập mang tính phá hoại. Cho đến khi phát triển thành trí tuệ nhân tạo tổng hợp thì đối tượng phá hoại cũng theo đó mà tiếp cận theo chiều rộng lẫn chiều sâu.
Vì thế, khi phát minh sáng tạo ra bất cứ gì, hãy tìm ra cả cơ hội phạm tội và đề ra giải pháp khắc phục ngay lập tức.
AI can be used to enhance both crime and security, hence there is a possibility the landscape will not be unduly disrupted with wide scale adoption of AI.
Your question is both timely and significant, as it touches on the evolving landscape of cybersecurity and cybercrime in the context of rapid technological advancements. The implementation of generative artificial intelligence (AI), Big Data analytics, and other technologies of the fourth industrial revolution is poised to dramatically alter the dynamics between cybercriminals and cybersecurity professionals. Here are some key points to consider in this discussion:
In conclusion, the technological advancements in AI and Big Data analytics will not only enhance the capabilities of cybersecurity professionals but also escalate the sophistication of cyber threats. This dynamic will fundamentally alter the landscape of cybersecurity, demanding more agile, intelligent, and multidisciplinary approaches to secure digital assets and infrastructure.
I believe the way we view security will change with the advent of Gen AI. Since any lay man will now have access to the most comprehensive and complex scripts(depending on what the model was trained on), it will definitely make it a lot harder to secure the data and infrastructure. My belief is that anything digital and connected is never secure.
We have to accept that our data can be accessed by malicious actors. What we can do is entrap such actors by associating/pegging a tracker and malicious code to all the data we store, and making sure that they can never use/view what they have extracted. So, whenever someone gains access to our data/infrastructure, they not only disclose themselves, but also get compromised through the executable scripts they downloaded. What's important to do is never store any stand alone files, and instead have scripts associated with each file(which shouldn't be able to be removed when extracting this data).
Only certain organization specific software should be allowed to extract the date, in the know that certain scripts will be executed when doing so. Appropriate measures can be taken with respect to specific scripts associated with the data file to prevent the org itself from being the victim.
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