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Temitope Ibrahim Lawal

0009-0000-8785-839X

Publications (4)

Permission Inheritance and Machine-Speed Risk Escalation in Agentic Al-Driven Cloud Operations

Temitope Ibrahim Lawal, Abiodun Oluwaseun Ariyo, Damilola Abidemi Akinwunmi, Ololade Zainab Adesokan & Akinde Michael Ogunmolu · Journal of Engineering Research and Reports · 2026

This study investigates how permission inheritance and machine-speed execution influence cybersecurity risk escalation in agentic artificial intelligence–driven cloud environments. A quantitative empirical design was adopted using a network-based privilege propagation model and s...

Open access Research Article 10.9734/jerr/2026/v28i41853

Prompt Injection and Training Data Poisoning as Emerging Threats to PCI DSS–Protected Financial Data

Suleiman S. Abba, Temitope Ibrahim Lawal, Pelumi Damola Adeyinka, Akinde Michael Ogunmolu & Abayomi Titilola Olutimehin · Asian Journal of Research in Computer Science · 2026

This study examines how prompt injection and training data poisoning compromise artificial intelligence (AI) systems operating within PCI DSS–protected financial environments and evaluates the adequacy of existing compliance controls in addressing these emerging threats. A multi-...

Open access Research Article 10.9734/ajrcos/2026/v19i3836

Post-Quantum 5G Slicing Security Framework Integrating AI-Driven Threat Mitigation in Global Telecommunications

Valerie Ojinika Ejiofor, Temitope Ibrahim Lawal, Pelumi Damola Adeyinka, Akinde Michael Ogunmolu & Adebayo Yusuf Balogun · Journal of Engineering Research and Reports · 2026

The rapid deployment of fifth-generation (5G) networks and the adoption of network slicing have significantly enhanced connectivity and service customization, but they have also expanded the cyber-attack surface of telecommunications infrastructure. At the same time, emerging qua...

Open access Research Article 10.9734/jerr/2026/v28i31825

Investigating the Feasibility and Risks of Leveraging Artificial Intelligence and Open Source Intelligence to Manage Predictive Cyber Threat Models

Onyinye Obioha-Val, Temitope Ibrahim Lawal, Oluwaseun Oladeji Olaniyi, Michael Olayinka Gbadebo & Anthony Obulor Olisa · Journal of Engineering Research and Reports · 2025

This study investigates the integration of Artificial Intelligence (AI) and Open Source Intelligence (OSINT) to enhance predictive threat modeling in cybersecurity, addressing the growing complexity and frequency of cyber threats. Integrating AI and OSINT offers transformative po...

Open access Research Article 10.9734/jerr/2025/v27i21390