Work

Assessment of the Cybersecurity Posture of the Federal Inland Revenue Service Against AI-Assisted Threats Using NIST, MITRE and ACGF Frameworks

Year: 2026

Type: article

Abstract: Artificial intelligence is changing how attackers target national institutions, yet most cybersecurity assessments still check whether controls exist without asking whether governance can cope with AI-assisted threats. This study assesses the cybersecurity posture of the Federal Inland Revenue Service (FIRS) in Nigeria against AI-assisted threats using an integrated model that combines the NIST Cybersecurity Framework, the MITRE adversary knowledge base and the AI Cybersecurity Governance Framework (ACGF).

Source: International Journal of Innovative Science and Research Technology (IJISRT)

DOI: 10.38124/ijisrt/26nov107

Authors: Nana Fatima Abdulaziz, Marion Adebiyi, Prema Kirubakaran

Institution: Nile University of Nigeria

Language: English

Topic: Information and Cyber Security

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: diamond

Funder: Nile University