Artificial intelligence, technology, deep learning, machine learning, cybersecurity, artificial intelligence techniques, mitigation, cyberattack, terrorization, homeland security, counterterrorism
With the propagation of digital technologies, the menacing scene in cyberspace has become progressively multifaceted, imposing innovative tactics for fortifying networks and structures. The uprise of artificial intelligence (AI) has become an auspicious key to enhancing cybersecurity because of its capability to examine and scrutinize large volumes of data, since anomalies, and generate response mechanisms. In this paper, Kaur, Gabrijel?i? & Klobu?ar, 2023, offer an inclusive literature appraisal of pragmatic AI techniques in cybersecurity, stressing their strengths, restrictions, and contemporary research trends. Moreover, the intensifying complexity of cyber fears poses significant trials to traditional cybersecurity styles. In reply, investigators and practitioners have run to artificial intelligence (AI) to brace defenses and moderate risks. AI techniques, such as machine and deep learning, ordinary etymological processing, and intellectual computing, offer unparalleled threat recognition, incident retort, and policymaking capabilities. This literature evaluation further synthesizes and scrutinizes existing exploration of AI applications in cybersecurity, expounding their efficacy and areas for perfection. Additionally, it summarizes latent avenues for future surveys to harness the full capability of AI in safeguarding digital possessions. It also recognizes key challenges and suggests imminent research guidelines to advance the incorporation of AI in cybersecurity.
[...] This swift riposte is critical and vital in extenuating the impression of cyberattacks and averting further damage (Kaur, Gabrijel?i?, & Klobu?ar, 2023). Therefore, it is evident that AI will significantly improve cybersecurity through faster and instant responses to threats and mitigation of concerns. Lastly, though AI will improve cybersecurity, strict and thoroughly equipped measures must be deployed to deter the use of AI to interfere with the privacy of persons. AI systems habitually require admittance to large expanses of delicate data to effectually detect and respond to coercions, a phenomenon which might be used to meddle with personal and confidential information, thus raising trust concerns and privacy breaches (Jada & Mayayise, 2023; Raimundo & Rosário, 2021). [...]
[...] ARTIFICIAL INTELLIGENCE AND CYBERSECURITY. Cybersecurity & Cybercrime, 20-37. https://doi.org/10.5604/01.3001.0053.8018 Patel, J. (2024, February 7). AI Helps Identify Data Gaps, Improve Interoperability at DHS GovCIO Media & Research. Retrieved from https://govciomedia.com/ai-helps- identify-data-gaps-improve-interoperability-at-dhs/ Raimundo, R., & Rosário, A. (2021). The Impact of Artificial Intelligence on Data System Security: A Literature Review. [...]
[...] Behind the curve: technology challenges facing the homeland intelligence and counterterrorism workforce. Journal of Cybersecurity, 10(1). https://doi.org/10.1093/cybsec/tyae002 Jada, I., & Mayayise, T. O. (2023). The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review. Data and Information Management https://doi.org/10.1016/j.dim.2023.100063 Kaur, R., Gabrijel?i?, D., & Klobu?ar, T. (2023). Artificial intelligence for cybersecurity: Literature review and future research directions. Information Fusion https://doi.org/10.1016/j.inffus.2023.101804 KOSI?SKI, J. (2023). [...]
[...] Overall Contribution to the HLS Enterprise Artificial intelligence for cybersecurity has significantly contributed to the advancement of homeland security, with the reduction of online crimes due to the implementation of new AI technologies. Developing and disposing of diverse AI methodologies in cybersecurity domains, such as invasion detection, malware analysis, security analytics, and susceptibility assessment, has simplified the complex cybersecurity issues, thus tightening security (Black, Obradovic, & House, 2024). AI has transformed cybersecurity in the HLS enterprise by availing advanced abilities for threat recognition, episode response, and risk administration, ultimately solidifying the flexibility of critical structure and protection against cyber threats. [...]
[...] In conjunction with supplementary technologies in cybersecurity, experts can integrate advanced strategies to look for inclinations and aberrations that can benefit in forecasting and stopping cyberattacks, and this capability helps security squads lessen threats more efficiently, reducing response times. Therefore, the improved know-how in AI has bolstered homeland security by elevated accelerations in automated episode response and risk mitigation and administration. Implication for the Future Artificial Intelligence insinuations for cybersecurity are gigantic and complex, determining the fate of how homeland security defends against cyber intimidation. [...]
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