Status : Verified
| Personal Name | Navarra, Katherine M. |
|---|---|
| Resource Title | Strategic technology planning for artificial intelligence application in managed security services for company X: a technology foresight |
| Date Issued | 19 December 2025 |
| Abstract | The rapid evolution of cyber threats, rising client expectations, and cyber workforce shortages were accelerating the integration of Artificial Intelligence (AI) into managed security services. This study examined how Company X, a Managed Security Services Provider (MSSP), could strategically leverage AI to remain competitive in a rapidly evolving cybersecurity landscape. Using scenario planning technology foresight, the study identified the key predictable drivers (e.g., cyber literacy and workforce shortage, digital transformation and technology adoption, cybersecurity risks and financial impact, and Philippine regulations) and critical uncertainties (e.g., AI governance maturity, multi-stakeholder collaboration, and pace of AI adoption). These variables were expected to shape AI’s role in cybersecurity over the next three years. The study also envisioned three (3) plausible future scenarios, namely (1) Human-AI Hybrid Model, (2) Fully Automated Cyber Defense Model, and (3) Open Innovation-Driven Cybersecurity Ecosystem. Each scenario was analyzed for coherence, implications, vulnerabilities, and strategic responses, supported by Technology Management (TM) concepts, including technological capability, innovation capability, service operations management, social shaping of technology, open innovation, and technology transfer. The findings indicated that the competitiveness of Company X depended not only on technological automation but on the effective integration of AI governance, workforce expertise, ecosystem collaboration, and differentiated advisory services. The study concluded with a multi-year AI integration roadmap and strategic recommendations for enabling Company X to become a future-ready, client-centered, and innovation-driven MSSP. |
| Degree Course | Master of Technology Management |
| Language | English |
| Keyword | Artificial intelligence; Managed security services; Cybersecurity; Technology foresight; Scenario planning |
| Material Type | Thesis/Dissertation |
Preliminary Pages
341.99 Kb
Category : C - Confidential information of a third-party is embedded.
Access Permission : Limited Access
