Page 234 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
and data analysis, allowing instructors to focus on 19. Sustainability and Cost-Effectiveness:
mentoring and advanced guidance. Ø Efforts should focus on optimizing the platform’s
infrastructure to ensure it remains cost-effective and
11. Scalability for Mass Training: energy-efficient, making it more accessible to
Ø Future platforms could focus on scaling to train large underfunded institutions and regions.
groups, such as employees of global organizations, by
optimizing AI systems to handle high user volumes 20. Cross-Disciplinary Integration:
without compromising personalization. Ø Future platforms could integrate elements from
psychology, behavioral science, and decision-making
12. AI for Threat Hunting Training: research to train professionals to think critically under
Ø Platforms could incorporate AI-based threat hunting pressure during cybersecurity crises.
modules, teaching learners how to use AI tools to
identify and mitigate threats in proactive cybersecurity The future scope of AI in cybersecurity education is both vast
strategies. and promising. With advancements in technology and
increased global demand for skilled cybersecurity
13. Research on Algorithm Bias Mitigation: professionals, AI-driven platforms like the AI CyberAcademy
Ø Addressing algorithmic biases and ensuring fairness in are poised to play a pivotal role in building a robust and
adaptive learning will be a crucial area of focus to create resilient digital workforce.
equitable training experiences for all learners.
IX. REFERENCES
14. Cybersecurity for Emerging Technologies: [1] NIST Cybersecurity Framework:
Ø AI platforms can evolve to cover security training for https://www.nist.gov/sybcrlcamewerk "Provides
emerging technologies like quantum computing, IoT, guidelines for improving cybersecurity risk
blockchain, and 5G networks.
management."
15. Open-Source Collaboration: [2] CISA (Cybersecurity & Infrastructure Security
Ø Developing open-source AI cybersecurity education Agency): https://www.cisa.gov "A government site
platforms could foster collaboration among researchers, for protecting the nation's critical infrastructure.*
educators, and practitioners, accelerating advancements
in the field. [3] SANS Institute: https://www.sans.org "Offers
cybersecurity training and certification."
16. Gamification and eSports Integration:
Ø Future platforms could integrate eSports-like [4] OWASP (Open Web Application Security Project):
competitions, where learners engage in gamified hutps:www.owasp.org "Focuses on improving the
cybersecurity challenges, encouraging community security of software applications.
learning and innovation.
[5] "How Al is Shaping the Future of Cybersecurity,"
17. Adaptive Soft Skills Training: Forbes, 2023. 1 https://www.fortes.com/1
Ø AI could also train learners in essential soft skills, such [6] "Top Cybersecurity Trends in 2025, " Wired, 2024.
as communication during incident response and https://www.wired.com/1
teamwork under pressure, complementing technical
training. [7] "The Rise of Cybersecurity Automation," TechCrunch,
2023. [https://techerunch.com/1
18. Impact on Policy and Regulation:
Ø Research could explore how AI-driven education [8] '5 Essential Skills Every Cybersecurity Professional
platforms influence national and international policies Must Have," CSO Online, 2024
for workforce development in cybersecurity. https://www.csoonline.com/in/]

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 224