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Impacto de la inteligencia artificial en la ciberseguridad empresarial: un análisis crítico de la evolución de amenazas y medidas preventivas.
| dc.contributor.advisor | Agama Chico, Alfonso | |
| dc.contributor.author | Acosta Cortez, Noralma Nathaly | |
| dc.date.accessioned | 2024-03-19T17:14:11Z | |
| dc.date.available | 2024-03-19T17:14:11Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | http://dspace.utb.edu.ec/handle/49000/15738 | |
| dc.description | This study is at the forefront of research that aims to understand and evaluate the real impact of artificial intelligence on the evolution of cyber threats and the effectiveness of preventive measures in the regional business environment. To optimize operations and services, companies use artificial intelligence technology to improve efficiency and competitiveness. But these innovations also create new vulnerabilities as increasingly sophisticated cyber threats use artificial intelligence capabilities to overcome traditional defenses, challenging the security of digital assets and entire data. This is particularly important in an environment where digitalization and online processes are accelerating, especially given the restrictions imposed in recent years during the Covid-19 pandemic. While this has allowed many organizations to continue their operations, it has also increased the interconnection and dependence on computer systems, opening spaces of vulnerability that malicious actors are exploiting. The findings of this research will allow us to identify gaps between the evolution of cyberattacks and the current preventive capabilities of companies. Concrete recommendations will be made to improve prediction, detection and response mechanisms for this new generation of computational threats. Addressing this issue will help to better understand and manage the challenges and opportunities that AI presents for enterprise IT security. Using an exploratory and descriptive methodology, this research aims to comprehensively examine a topic of growing interest, considering initial results, expected evolution and areas of improvement in the emerging field of AI in business cybersecurity. By integrating conceptual exploration techniques and systematic description of evidence, it seeks to provide useful knowledge for informed decision making by both the academic community and companies. | es_ES |
| dc.description | This study is at the forefront of research that aims to understand and evaluate the real impact of artificial intelligence on the evolution of cyber threats and the effectiveness of preventive measures in the regional business environment. To optimize operations and services, companies use artificial intelligence technology to improve efficiency and competitiveness. But these innovations also create new vulnerabilities as increasingly sophisticated cyber threats use artificial intelligence capabilities to overcome traditional defenses, challenging the security of digital assets and entire data. This is particularly important in an environment where digitalization and online processes are accelerating, especially given the restrictions imposed in recent years during the Covid-19 pandemic. While this has allowed many organizations to continue their operations, it has also increased the interconnection and dependence on computer systems, opening spaces of vulnerability that malicious actors are exploiting. The findings of this research will allow us to identify gaps between the evolution of cyberattacks and the current preventive capabilities of companies. Concrete recommendations will be made to improve prediction, detection and response mechanisms for this new generation of computational threats. Addressing this issue will help to better understand and manage the challenges and opportunities that AI presents for enterprise IT security. Using an exploratory and descriptive methodology, this research aims to comprehensively examine a topic of growing interest, considering initial results, expected evolution and areas of improvement in the emerging field of AI in business cybersecurity. By integrating conceptual exploration techniques and systematic description of evidence, it seeks to provide useful knowledge for informed decision making by both the academic community and companies. | es_ES |
| dc.description.abstract | Este estudio está a la vanguardia de la investigación que tiene como objetivo comprender y evaluar el impacto real de la inteligencia artificial en la evolución de las ciberamenazas y la efectividad de las medidas preventivas en el entorno empresarial regional. Para optimizar las operaciones y los servicios, las empresas utilizan tecnología de inteligencia artificial para mejorar la eficiencia y la competitividad. Sin embargo, estas innovaciones también han introducido nuevas vulnerabilidades, ya que las amenazas cibernéticas cada vez más sofisticadas han aprovechado las capacidades de la IA para superar las defensas tradicionales, planteando interrogantes sobre la seguridad de los activos digitales y la totalidad de los datos. Particularmente relevante es el contexto de aceleración de la digitalización y la implementación de procesos en línea, especialmente impulsado por las restricciones impuestas durante la pandemia de COVID-19 en los últimos años. Si bien esto ha permitido a muchas organizaciones continuar con sus operaciones, también ha aumentado la interconexión y dependencia de sistemas informáticos, abriendo espacios de vulnerabilidad que los actores malintencionados están aprovechando. Los hallazgos de esta investigación permitirán identificar brechas entre la evolución de los ciberataques y las capacidades preventivas actuales de las empresas. Se formularán recomendaciones concretas para mejorar los mecanismos de predicción, detección y respuesta ante esta nueva generación de amenazas computacionales. Abordar esta problemática contribuirá a comprender y gestionar de manera más adecuada los desafíos y oportunidades que presenta la IA para la seguridad informática empresarial. Desde una metodología exploratoria y descriptiva, esta investigación se propone examinar de manera integral una temática de creciente interés, considerando resultados iniciales, evolución esperada y áreas de mejora en el campo emergente de la IA en la ciberseguridad empresarial. Mediante la integración de técnicas de exploración conceptual y descripción sistemática de evidencias, busca proporcionar conocimientos útiles para la toma de decisiones informada tanto por la comunidad académica como por las empresas. | es_ES |
| dc.format.extent | 41 p. | es_ES |
| dc.language.iso | es | es_ES |
| dc.publisher | Babahoyo: UTB-FAFI. 2024 | es_ES |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Ecuador | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ec/ | * |
| dc.subject | Ciberseguridad | es_ES |
| dc.subject | Inteligencia artificial | es_ES |
| dc.subject | Amenazas cibernéticas | es_ES |
| dc.subject | Protección de activos | es_ES |
| dc.subject | Tecnologías emergentes | es_ES |
| dc.title | Impacto de la inteligencia artificial en la ciberseguridad empresarial: un análisis crítico de la evolución de amenazas y medidas preventivas. | es_ES |
| dc.type | bachelorThesis | es_ES |
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