TY - GEN
T1 - Artificial Intelligence in Security Operations
T2 - 11th Intelligent Systems Conference, IntelliSys 2025
AU - Román, Jorge J.
AU - Alrazooqi, Khalid Nasser
AU - Casas, Edmundo
AU - Ramos, Leo Thomas
AU - Romero, Cristian
AU - Rivas-Echeverría, Francklin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - This review synthesizes the expanding role of artificial intelligence (AI) in security operations, examining its integration across diverse domains to enhance safety, efficiency, and adaptability. Based on the analysis of key selected studies, five main areas of application emerged: access control, fraud detection, intelligent surveillance, predictive policing, and the use of unmanned aerial vehicles (UAVs) for reconnaissance. Across these domains, AI demonstrates notable capabilities, from improving biometric identification and financial anomaly detection to enabling real-time monitoring, crime forecasting, and autonomous decision-making in the field. These findings highlight AI’s transformative impact on security strategies and its growing importance in addressing evolving threats. This review maps the current landscape of AI applications in security and provides a foundation for future research aimed at refining and expanding the use of AI in increasingly complex operational scenarios.
AB - This review synthesizes the expanding role of artificial intelligence (AI) in security operations, examining its integration across diverse domains to enhance safety, efficiency, and adaptability. Based on the analysis of key selected studies, five main areas of application emerged: access control, fraud detection, intelligent surveillance, predictive policing, and the use of unmanned aerial vehicles (UAVs) for reconnaissance. Across these domains, AI demonstrates notable capabilities, from improving biometric identification and financial anomaly detection to enabling real-time monitoring, crime forecasting, and autonomous decision-making in the field. These findings highlight AI’s transformative impact on security strategies and its growing importance in addressing evolving threats. This review maps the current landscape of AI applications in security and provides a foundation for future research aimed at refining and expanding the use of AI in increasingly complex operational scenarios.
KW - Artificial intelligence
KW - Computer vision
KW - Deep learning
KW - Object detection
KW - Security operations
KW - Security systems
KW - Security technology
KW - Surveillance
UR - https://www.scopus.com/pages/publications/105022976885
U2 - 10.1007/978-3-032-07109-5_22
DO - 10.1007/978-3-032-07109-5_22
M3 - Contribución a la conferencia
AN - SCOPUS:105022976885
SN - 9783032071088
T3 - Lecture Notes in Networks and Systems
SP - 323
EP - 339
BT - Intelligent Systems and Applications - Proceedings of the 2025 Intelligent Systems Conference IntelliSys
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 28 August 2025 through 29 August 2025
ER -