Aghoghomena Akasukpe: Advancing Offensive Security and AI Red Teaming in the Era of Intelligent Systems
As artificial intelligence continues to redefine modern technology ecosystems, the need for professionals who can secure these systems against evolving threats has become critical. Aghoghomena Akasukpe, an Agentic-AI Security Researcher and Offensive Security Engineer based in Canada, is at the forefront of this transformation — working to identify, simulate, and mitigate vulnerabilities in AI-driven and cloud-native environments.
With a strong foundation in penetration testing, adversarial machine learning, and exploit development, Akasukpe is contributing to the advancement of cybersecurity practices tailored for next-generation intelligent systems.
Securing AI and Cloud Systems Through Offensive Security
Aghoghomena Akasukpe specializes in offensive security and AI red teaming, focusing on identifying weaknesses in complex systems through real-world attack simulations. His expertise includes:
- Adversarial Machine Learning (AML)
- AI Red Teaming (LLMs and agentic systems)
- Prompt injection and data poisoning attacks
- Cloud IAM exploitation and attack path discovery
- Penetration testing and exploit development
By combining academic research with hands-on engineering, he translates theoretical vulnerabilities into practical, testable security frameworks that strengthen system resilience .
Professional Experience Overview
Below is a structured summary of Aghoghomena Akasukpe’s current and past professional roles:
| Organization | Role | Duration | Key Responsibilities & Contributions |
| Ontario Tech University (Canada) | Agentic-AI Security Researcher | Apr 2025 – Present | Developed taxonomy for agentic AI security risks; built infrastructure for AI security testing; researched and evaluated defense mechanisms against emerging AI threats |
| Ontario Tech University (Canada) | Cybersecurity Researcher (Adversarial Machine Learning) | Jan 2025 – Jul 2025 | Conducted research on model poisoning and evasion attacks; developed defense strategies; reviewed 50+ AML papers; contributed to secure ML frameworks |
| Cavista (USA) | Software Engineer (Healthcare) | Sept 2023 – Nov 2024 | Developed healthcare data systems; optimized SQL queries; implemented caching strategies; collaborated on QA and production testing using tools like Kibana |
| Azul Nigeria | Full-Stack Engineer | Aug 2021 – Aug 2023 | Built scalable web applications using React, Next.js, Django; implemented backend data structures; improved performance and SEO optimization |
| NIIT Limited | Full-Stack Engineer | Jan 2022 – Jun 2022 | Developed responsive web applications using PHP MVC and SCSS; enhanced backend efficiency and application workflows |
| ARM HoldCo | Software Engineer | Jun 2021 – Jul 2021 | Optimized application performance; implemented Tailwind CSS and Webpack strategies; improved page load times and UI consistency |
Academic Excellence and Research Contributions
Aghoghomena Akasukpe is currently pursuing a Master of Science (MSc) in Computer Science (AI & Cybersecurity) at Ontario Tech University .
He previously earned a Bachelor of Science (BSc) in Computer Science from Babcock University, graduating with multiple academic distinctions, including:
- Highest CGPA in 200L, 300L, and 400L
- School Dean’s Award
- Cavista Hackathon Winner
He has also contributed to academic research with publications focused on defending machine learning systems against adversarial attacks.
Technical Skills and Certifications
Akasukpe’s professional skill set includes:
- Vulnerability Assessment and Penetration Testing (VAPT)
- Threat Assessment and Exploit Development
- Cloud Security (AWS & Azure)
- AI/ML Security and MLOps
- Python and Go for security tooling
His certifications include:
- (ISC)² Certified in Cybersecurity (CC)
- LangGraph (LLM-powered AI agents development)
- Kibana Query Language (KQL) for log analysis
- CSS and frontend technologies
Shaping the Future of AI Security
With the rapid adoption of AI systems across industries, the need for proactive security testing and adversarial simulation is more important than ever. Aghoghomena Akasukpe is contributing to this frontier by developing frameworks and methodologies that ensure AI systems are secure by design.
His work not only addresses current vulnerabilities but also anticipates future threats — positioning him as a key contributor to the evolving field of AI security and offensive cybersecurity.
Connect via LinkedIn:
https://www.linkedin.com/in/aghoghomena-akasukpe/
Disclaimer
This article is published strictly for promotional and informational purposes. The content is based on publicly available professional profile information and is not intended to defame, misrepresent, or harm any individual, organization, or entity.
