Author(s)

Putri Ayu Nur Rizki^*, Sasha Havisa Samosir, Iskandar Muda

Affiliation(s)

Department of Accounting, Universitas Sumatera Utara, Medan, Indonesia.

Corresponding Author

Putri Ayu Nur Rizki

ABSTRACT

Organizations today face an unprecedented array of security challenges, driven by rapidly changing environments and increasingly sophisticated threats. Traditional static physical security systems, while effective in addressing known risks, are ill-equipped to handle the complexity and unpredictability of modern organizational landscapes. This paper introduces and explores the concept of adaptive physical security, a dynamic approach that leverages advanced technologies such as artificial intelligence (AI), machine learning, real-time data analytics, and Internet of Things (IoT)-enabled devices to create flexible and resilient security frameworks.

Adaptive physical security systems are designed to respond to evolving threats in real time, enabling organizations to detect, assess, and mitigate risks before they escalate. Central to this approach are predictive threat modeling, scalable access control mechanisms, and automated incident response strategies, all of which work in tandem to ensure comprehensive protection. Through a review of recent advancements, case studies, and practical applications, this study demonstrates the potential of adaptive security systems to significantly enhance organizational resilience.

Key challenges in implementation, such as integration with existing systems, data privacy concerns, and cost implications, are also discussed. Furthermore, the paper highlights the importance of a proactive security culture, emphasizing that technology must be complemented by human vigilance and strategic planning. The findings underscore the need for organizations to shift from reactive to adaptive security paradigms, redefining safety standards to address the demands of today’s dynamic environments. This research provides a foundation for future studies and offers actionable insights for organizations aiming to strengthen their physical security measures.

KEYWORDS

Adaptive physical security; Organizational safety; Dynamic environments; Real-time threat detection

CITE THIS PAPER

Putri Ayu Nur Rizki, Sasha Havisa Samosir, Iskandar Muda. Adaptive physical security: redefining organizational safety in dynamic environments. AI and Data Science Journal. 2025, 2(1): 1-7. DOI: https://doi.org/10.61784/adsj3006.

REFERENCES

[1] Tambunan, B, Sihombing, H, Doloksaribu, A. The effect of security transactions, easy of use, and the risk perception of interest online buying on the e-commerce tokopedia site (Study on Tokopedia. id site users in Medan city). In IOP Conference Series: Materials Science and Engineering, IOP Publishing. 2018, 420(1): 012118.  http://iopscience.iop.org/article/10.1088/1757-899X/420/1/012118/meta

[2] Rajesh, S, Abd Algani, Y M, Al Ansari, M S, et al. Detection of features from the internet of things customer attitudes in the hotel industry using a deep neural network model. Measurement: Sensors, 2022, 22, 100384. DOI: https://doi.org/10.1016/j.measen.2022.100384.

[3] Muda, I, Afrina, A, E. Influence of human resources to the effect of system quality and information quality on the user satisfaction of accrual-based accounting system (Implementing of adaptive behavior assessment system theory, case in Indonesia). Contaduría y Administración, próxima publicación, 2019,  63(4): 1-25. https://www.journals.elsevier.com/contaduria-y-administracion

[4] Abdelkader, S, Amissah, J, Kinga, S, et al. Securing modern power systems: Implementing comprehensive strategies to enhance resilience and reliability against cyber-attacks. Results in engineering, 2024, 102647.

[5] Shulha O, Yanenkova I, Kuzub M, et al. Banking Information Resource Cybersecurity System Modeling. Journal of Open Innovation: Technology, Market, and Complexity, 2022, 8(2): 80. DOI: https://doi.org/10.3390/joitmc8020080.

[6] Ilca, L F, Lucian, O P, Balan, T C. Enhancing cyber-resilience for small and medium-sized organizations with prescriptive malware analysis, detection and response. Sensors, 2023, 23(15): 6757.

[7] Repiso, E, Garrell, A, Sanfeliu, A. Adaptive social planner to accompany people in real-life dynamic environments. International Journal of Social Robotics, 2024, 16(6): 1189-1221.

[8] Sas, M, Reniers, G, Ponnet, K, et al. The impact of training sessions on physical security awareness: Measuring employees’ knowledge, attitude and self-reported behaviour. Safety science, 2021, 144, 105447.

[9] Shandilya, S K, Datta, A, Kartik, Y, et al. Advancing Security and Resilience. In Digital Resilience: Navigating Disruption and Safeguarding Data Privacy. Cham: Springer Nature Switzerland. 2024, 459-529.

[10] Surya, B, Hadijah, H, Suriani, S, et al. Spatial transformation of a new city in 2006–2020: Perspectives on the spatial dynamics, environmental quality degradation, and socio—economic sustainability of local communities in Makassar City, Indonesia. Land, 2020, 9(9): 324.

[11] Braun, V, Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.

[12] Schein, E H. Organizational culture and leadership. John Wiley & Sons. 2010, 2.

[13] Chang, J, Rabosky, D L, Smith, S A, et al. An R package and online resource for macroevolutionary studies using the ray‐finned fish tree of life. Methods in Ecology and Evolution, 2019, 10(7): 1118-1124.