AJSM OPEN ACCESS

Academic Journal of Sociology and Management

ISSN:3005-5040 (print) | ISSN:3005-5059 (online) | Publication Frequency: Bimonthly

OPEN ACCESS|Research Article||22 June 2026

Bridging Research and Market Adoption in Artificial Intelligence: an Investment-Driven Framework for Commercializing AI Security Technologies

Shuaizheng Meng

Liaoning Shenyang-Fushun Investment Fund Management Co., Ltd.

mszbrownie236@icloud.com

Liaoning Shenyang-Fushun Investment Fund Management Co., Ltd., CN, mszbrownie236@icloud.com.

* Corresponding Author1: Shuaizheng Meng, E-Mail: mszbrownie236@icloud.com

Publication

Accepted 2026 June 22 ; Published 2026 June 22

Academic Journal of Sociology and Management, 2026, 4(3), 3005-5040.

Abstract

AI security has attracted growing attention from both researchers and investors. However, many technologies that perform well in research environments fail to achieve broad market adoption. This paper examines the development of CrowdStrike, Darktrace, Cybereason, and Qi Anxin, together with several emerging firms. Their experiences suggest that access to capital often affects growth as much as technological capability. In addition to product quality, factors such as market timing, customer demand, and regulation can influence commercial success. The study discusses how these factors interact during the commercialization process and what they may imply for future AI security ventures.

Keywords

AI Security , Technology Commercialization , Venture Capital , Investment Framework , Market Adoption , Cybersecurity .

Metadata

DOI:

10.70393/616a736d.343232

ARK:

ark:/40704/AJSM.v4n3a04

Pages: 12-19

References: 30

Disciplines: Management Science

Subjects: Decision Analysis

Cite This Article

APA Style

Meng, S. (2026). Bridging research and market adoption in artificial intelligence: an investment-driven framework for commercializing ai security technologies. Academic Journal of Sociology and Management, 4(3), 12-19. https://doi.org/10.70393/616a736d.343232

Acknowledgments

Not Applicable.

FUNDING

Not Applicable.

INSTITUTIONAL REVIEW BOARD STATEMENT

Not Applicable.

DATA AVAILABILITY STATEMENT

Not Applicable.

INFORMED CONSENT STATEMENT

Not Applicable.

CONFLICT OF INTEREST

Not Applicable.

AUTHOR CONTRIBUTIONS

Not application.

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