Open to new projects Accra, Ghana
Festus Boamah
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Research

Trustworthy AI and cybersecurity for digital public services

I am an Information Technology educator and software engineer exploring trustworthy AI, application security and privacy. My work connects practical software development with systematic security evaluation, with an interest in secure and dependable digital systems for resource-constrained environments.

Academic CV

Areas of interest

Security of AI applications

How applications built on large language models can be tested and hardened.

  • Prompt injection and unsafe AI tool use
  • Sensitive-data leakage in AI-enabled applications
  • Secure AI agents and API integrations
  • Security testing for applications that use large language models

Privacy and verifiable digital systems

Systems people can trust because they can be checked.

  • Security auditing and privacy-preserving technologies
  • Secure electronic voting and auditability
  • Authentication and access control in digital public services
  • Trustworthy systems for education and civic technology

Artificial intelligence for cybersecurity

Using machine learning to find threats, and explaining what it finds.

  • Explainable AI for cyber threat detection
  • Machine-learning approaches to phishing detection
  • AI-assisted fraud detection
  • Security analytics and anomaly detection

Technical articles and products connected to these interests. None of these are peer-reviewed publications.