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Will I be able to develop the skills that will keeps me competitive in the cybersecurity field with the increased use of AI #Spring26?

Where do I begin with my own research in my future career field?

spring26 cybersecurity cyber-security artificial-intelligence
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Ashish’s Answer

Yes—you can absolutely stay competitive in cybersecurity, even with the growing use of AI. In fact, AI is increasing the demand for skilled professionals rather than replacing them.

AI can automate tasks such as vulnerability scanning and log analysis, but human expertise is still essential for understanding context, making informed decisions, and responding to complex security threats.

As a student, you can stay relevant by focusing on a few key areas:

Build a strong foundation in cybersecurity fundamentals (networking, operating systems, and security principles)
Gain awareness of how AI is applied in cybersecurity tools and workflows
Develop hands-on experience through labs, simulations, and ethical hacking practice
Strengthen analytical thinking and problem-solving skills

AI should be viewed as a tool that enhances your capabilities. Professionals who learn to effectively work alongside AI will have a clear advantage in the evolving cybersecurity landscape.
Thank you comment icon Thanks for the help. Gamalier
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Supreeti’s Answer

AI is changing how work is done. Cybersecurity is an excellent field to develop your skills with AI. Having myself worked in security, I can confidently say, the combination will future proof you. Build strong foundation in security fundamentals, networking, linux, do hands on lab work to stimulate attack and defense scenarios. Learn to differentiate between logs (system vs auth), understand failures and patterns, differentiate between normal and suspicious(threat). Specialize in one area, pick from Cloud security, threat detection, AI security ( protecting models and data pipelines, data poisoning) or governance/ compliance whatever interests you and apply AI relevant tools with it to
• Analyze, summarize logs and generate detection rules with AI (eg laptop logs and use Claude or gemini or ChatGPT)
• Generate automated models (n8n, make)
• Investigate incidents faster
• Automate responses
There are more open source tools available that might be better like Shuffle and TheHive that you can look into.
AI tools depend on your understanding of what is happening, how systems can be broken, incident response and decision making. It is a multiplier to your knowledge. Good luck!
Hope this helped.
Thank you comment icon Thank you so much for the advice. Gamalier
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Sandeep’s Answer

Hello Gamalier,

Yes. AI will change cybersecurity, but it will make skilled professionals more valuable, not less. While AI can automate some detection tasks, areas like threat analysis, incident response, and security architecture still require human judgment.

To get started, focus on fundamentals like networking, operating systems, and security basics, then practice hands-on through labs or simulations. Learning tools and concepts alongside platforms like Wireshark or Kali Linux can help you build practical experience early.
Thank you comment icon Sandeep, thank you! Gamalier
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SREE LAKSHMY’s Answer

Yes, you will absolutely be able to develop the skills needed to stay competitive in cybersecurity, even with the rise of AI.
AI is not replacing cybersecurity professionals it is actually increasing demand by helping detect threats faster, while still requiring human expertise to analyze and respond.
You can stay on track by building strong fundamentals in networking, systems, and security while using YouTube and online courses to continuously upgrade your knowledge.
If you also learn how AI is applied in cybersecurity, you’ll stand out even more and be well-prepared for the future of the field.
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Suresh’s Answer

Start your research journey by building a strong foundation in theory, then move on to practical projects, and finally, make your own unique contributions. Begin early by choosing a specific area to focus on. Read a lot, try out experiments, and connect with mentors and peers. This will prepare you for a career in academic research or industry innovation. By following this path, you'll develop deep knowledge, critical thinking, and practical problem-solving skills, which are key to becoming a successful computer science researcher.
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