Cybersecurity Synergies & Gaps Identification in the Age of Digital Cognition
Zlatogor Minchev 1, 2, 3 
1 Institute of ICT, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Bl. 25A, Sofia, 1113, Bulgaria
2 Institute of Mathematics & Informatics, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Bl. 8, Sofia, 1113, Bulgaria
3 Centre for Implementation of Scientific Research on Digitisation of the Economy in an Environment of Big Data (DEEBD), Sofia, Bulgaria
zlatogor@bas.bg
DOI: 10.46793/BISEC25.120M
ABSTRACT: Nowadays smart digital reality is already evolving to a new fundamental change, related to the fast AI algorithmic sentient progress with vast interconnectivities and the resulting H-M symbiotic development. The study outlines a practical experiment on the “digital cognition” modelling, in the context of AI sentient evolu-tion exploration. Expert data and generative AI feedbacks are initially used in this process, both fused in an ad hoc created system-of-systems dynamic model. Fur-ther, a dynamic assessment of the model is performed with mixed H-M validation by implementing the scenario method and probabilistic HPC simulations. Most prominent results have been finally jointly verified in an interactive simulation with a human-in-the-loop active role during CYREX 2025 and in lab conditions. The approach is trying to identify key synergies and gaps of the model, outlining also internal triggers, aiming potential system advancements. The obtained results are expected to support the development of a forward-thinking holistic proactive analysis of the cyber security evolution, giving accent to the sentient features of “digital cognition” in both offensive and defensive context. These will create a suitable post-information society preparation for successful handling of the future interconnected reality’s AI-influenced transcendents and the necessity for a dual human-machine smart regulations establishment within the not so far future.
KEYWORDS: Future Cyber Security, Synergies & Gaps Identification, Digital Cognition, Sys-tem Dynamics Modelling, H-M Validation & Verification.
ACKNOWLEDGMENT: The author of this study is granting a special appreciation for the experimental base and partial funding support to the National Scientific Programme “Security & Defense”. Additional gratitude for the institutional contributions is provided to EDIH “Takia”, Association of the Officers in the Reserve “Atlantic”, IFIP TC 14 “Entertainment Computing”, and the Association for the Development of the Information Society. Distinctive thanks are further expressed to Fsas Technologies, Fujitsu for the private AI cloud tools provision support. The analytical results in the paper are also benefiting the Centre of Competence on Digitisation of the economy in an environment of Big Data-second stage, Grant No. BG16RFPR002-1.014-0013-C01, financed by the Science and Education for Smart Growth Operational Program and co-financed by the European Union through the European Structural and Investment Funds. Finally, the international expert support is further reinforced by the initiative “Securing Digital Future 21” with more than sixty countries now, spread around the world, https://securedfuture21.org/.
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