Innovación en la detección y prevención de patrones de ciberataque con la utilización de IA generativa.
This study is the initial step in a case study that seeks to understand and evaluate the real impact of generative artificial intelligence on the evolution of cyber threats and the effectiveness of preventive measures in the organizational context. Companies use generative artificial intelligence te...
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| Hlavní autor: | |
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| Médium: | bachelorThesis |
| Vydáno: |
2025
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| Témata: | |
| On-line přístup: | http://dspace.utb.edu.ec/handle/49000/17948 |
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| Shrnutí: | This study is the initial step in a case study that seeks to understand and evaluate the real impact of generative artificial intelligence on the evolution of cyber threats and the effectiveness of preventive measures in the organizational context. Companies use generative artificial intelligence technology to optimize operations and services, thereby improving efficiency and competitiveness. However, these advances have also generated new vulnerabilities, as AI capabilities have been exploited by sophisticated cyber threats to overthrow conventional defenses, causing concerns about the security of digital assets and data. This study will also uncover any gaps between the evolution of cyber-attacks and companies' current preventative measures. Specific suggestions will be made to improve prediction, detection and response mechanisms in anticipation of the latest computational threats. Management of this problem will enable a better understanding and control of the problems and opportunities related to generative AI for enterprise computer security. |
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