AI-Driven Cyber Protection: Advancements, Applications, and Ethical Considerations
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Zenodo
2025
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| author | Gunjan Tewani Dr. Shikha Tiwari |
| author_facet | Gunjan Tewani Dr. Shikha Tiwari |
| contents | <p>Abstract: -<br>Artificial Intelligence (AI) is reshaping cybersecurity by enabling faster, more accurate threat detection,<br>vulnerability analysis, and automated incident response. This paper discusses AI techniques like machine<br>learning and predictive analytics that support real-time threat identification and response automation,<br>essential for protecting today’s digital infrastructure. With the capacity to process extensive data and<br>uncover complex patterns, AI boosts cybersecurity’s effectiveness and resilience against cyber threats.<br>AI also brings challenges, such as ethical considerations, data privacy issues, and risks from adversarial<br>attacks where attackers may target AI systems themselves. Ensuring responsible use of AI in<br>cybersecurity requires robust ethical guidelines, transparency, and continued research. While AI shows<br>vast promise for advancing cybersecurity, further work is needed to guarantee its secure, transparent,<br>and ethical application to create reliable defenses in a rapidly evolving digital landscape.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15447574 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI-Driven Cyber Protection: Advancements, Applications, and Ethical Considerations Gunjan Tewani Dr. Shikha Tiwari <p>Abstract: -<br>Artificial Intelligence (AI) is reshaping cybersecurity by enabling faster, more accurate threat detection,<br>vulnerability analysis, and automated incident response. This paper discusses AI techniques like machine<br>learning and predictive analytics that support real-time threat identification and response automation,<br>essential for protecting today’s digital infrastructure. With the capacity to process extensive data and<br>uncover complex patterns, AI boosts cybersecurity’s effectiveness and resilience against cyber threats.<br>AI also brings challenges, such as ethical considerations, data privacy issues, and risks from adversarial<br>attacks where attackers may target AI systems themselves. Ensuring responsible use of AI in<br>cybersecurity requires robust ethical guidelines, transparency, and continued research. While AI shows<br>vast promise for advancing cybersecurity, further work is needed to guarantee its secure, transparent,<br>and ethical application to create reliable defenses in a rapidly evolving digital landscape.</p> |
| title | AI-Driven Cyber Protection: Advancements, Applications, and Ethical Considerations |
| url | https://doi.org/10.5281/zenodo.15447574 |