AI and cybersecurity

16 Dec AI and cybersecurity

I have been seeing many things for a long time, and I am also worried about many things. I am not saying that I can’t work or you can’t work. We must be worrying about where our jobs will eventually go, .

how long will artificial intelligence play, and what is its reality?

I will start all things from my own office, where some time ago there were many jobs. My cousin’s colleague, who had many jobs in his office, experienced the same.

It occurred on both sides, in a private organization and in a government organization. There was a position of quality assurance in both places, and that entire position was replaced by artificial intelligence

My job has survived due to the fact that I am doing many tasks myself, in which I am also writing the code myself, conducting tests myself, and also having to go to many places to do network work.

I am very much interested in cybersecurity, but now, to some extent, I see these things as dangerously complicated. However, I have a very good solution, which I have prepared for myself.

Where there was a need for a lot of programmers, now we have three programmers doing the work of four mill employees, and they are also using artificial intelligence.

The company is not worried about this because it is finally saving the salary of some employees by doing it somehow

Always remember that no matter how good your company is, it cares about itself more than you. It will save as much money as it can, even if it doesn’t have to send the entire team home

For the company, started implementing many things for cybersecurity and pen testing, we thought about hiring a penetration tester, but in the end, it didn’t work out. Instead, they hired an AI engineer and a developer.

They have hired data analysts who are collecting data from the internet about all the bugs and reports of all those things and testing them through a specific algorithm at different locations, and the results are very good. It is proving to be useful; it is also proving how our performance is, and we are being asked questions based on it.

There can be only two results: either we have to teach our progress or our place. Someone else will find those people too

The same thing happened to a friend of mine who was doing Bug Bounty a while ago. Many of my friends who were doing Bug Bounty either left Bug Bounty or went into Artificial Intelligence, or they went into Marketing.

He also said that the only thing we can do now is to get out of something that is no longer worth chasing, or we can become too specialized in something and invent new things that we have never done before.

If no one remembers, let’s go after things that artificial intelligence can’t do. For example, network engineering hasn’t proven to be good enough for artificial intelligence yet, but on the contrary, if we look at what artificial intelligence can do, packet tracing.

So it can do, it’s a must, friends, artificial intelligence can’t do nursing, it can’t do many things, artificial intelligence can’t test the port. If we examine this thing, there are many risks involved before artificial intelligence is implemented anywhere.

All the organizations that are working under atomic energy or nuclear medicine or things like that are at risk from artificial intelligence because they can’t get their data out there.

If you have a higher education, you can definitely go there. Four years ago, the same happened to me. But I refused it because of many reasons

My personal experience is that if you start working on a project that is collecting data, you become as expert as you can be in something, but trust me, you will find that data very useful. In the end, you have to automate it. You will have to resort to artificial intelligence.

Here are some small tips that can help you with these things

1. Collect any research you find on the internet and keep it safe with you.
2. Save information found in PDF or printed form to your personal drive.
3. Obtain a fast server or set up the environment on a local host to extract and organize data.
4. Train a machine learning model with this collected data.
5. Develop small models capable of self-training to assist in the future.

Why This is Important

1. Consideration of the future implications of technological advancements, particularly artificial intelligence.
2. Concerns about job security in the face of AI advancements and changes in job roles.
3. Personal experiences illustrating adaptation to technological changes and the importance of acquiring new skills.
4. Observations on shifts in job roles, especially with the integration of AI and automation.
5. Insights into cybersecurity practices, including the adoption of AI-driven solutions.
6. Reflections on the importance of innovation and specialization in navigating the job market.
7. Recognition of tasks that AI cannot effectively perform yet, such as aspects of network engineering and certain medical tasks.
8. Consideration of the risks and implications associated with widespread AI adoption.
9. The value of higher education in preparing for emerging job opportunities and challenges.
10. Acknowledgment of the increasing role of AI in automating processes and data collection across

So after that I may not have time to write more but this is what I have written, I hope it will be of great use in your future. My best wishes are with you.