A Conceptual Model of Digital Immune System to Increase the Resilience of Technology Ecosystems
Research Challenges in Information Science: 18th International Conference (RCIS 2024): Proceedings. Part 1. Lecture Notes in Business Information Processing. Vol.513 2024
Beāte Krauze, Jānis Grabis

In the light of technological advancements, disruptions and regulatory changes, various guidelines and standards emphasize the need for technology resilience. However, they often lack explicit evaluation methods, leaving organizations to determine their own implementation and assessment approaches. This absence of specific guidance amplifies the challenges organizations face in ensuring business continuity when critical systems fail. To address this, a “digital immune system” is proposed – a holistic approach to safeguard digital assets and mitigate IT-related risks. Digital immune system integrates processes, analytics and technologies to strengthen IT architecture, business operations and incorporates assessments to evaluate technology ecosystem resilience. Despite the acknowledged need for technology resilience, existing frameworks fall short in providing practical evaluation methods for the digital immune system. This paper confronts this challenge by focusing on the interconnected components of technologies, data and processes, considering emerging threats and compliance requirements. The goal of the research is to design an assessment framework for the digital immune system and establish a Digital Immune System Maturity Model. The model offers a structured path for organizations to measure and improve their IT risk assessment, resilience and business continuity plans.


Atslēgas vārdi
Business Continuity Planning | Digital Immune System | IT Risk Management | Resilience
DOI
10.1007/978-3-031-59465-6_6
Hipersaite
https://link.springer.com/chapter/10.1007/978-3-031-59465-6_6

Krauze, B., Grabis, J. A Conceptual Model of Digital Immune System to Increase the Resilience of Technology Ecosystems. No: Research Challenges in Information Science: 18th International Conference (RCIS 2024): Proceedings. Part 1. Lecture Notes in Business Information Processing. Vol.513, Portugāle, Guimarães, 14.-17. maijs, 2024. Cham: Springer, 2024, 82.-96.lpp. ISBN 9783031594649. e-ISBN 978-3-031-59465-6. ISSN 1865-1348. e-ISSN 1865-1356. Pieejams: doi:10.1007/978-3-031-59465-6_6

Publikācijas valoda
English (en)
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