The blistering development of cyber threats revealed the weakness of the traditional Artificial Intelligence (AI)-based defense systems that have task-specific and limited scope. The more adaptive and situational approaches to attacks are adapted by enemies, the more the cybersecurity system requires a greater level of rationale, generalization and a vision. This paper presents a con-conceptual framework of AI to Artificial General Intelligence (AGI) as a cybersecurity defense. The proposed AI-AGI Cybersecurity Architecture involves the use of multi-source data (telemetry, logs and threat feeds) and a highly developed AI-based malware, phishing and anomaly detection components under a Decision Layer of an AGI Core. The AGI Core improves the reasoning of the context, adaptability-ity, and prediction of new threats by using meta-learning and simulation-based inference. The accountability and ethical governance are ensured by the oversight mechanisms like human-in-the-loop and audit compliance. The framework shows how AGI-enabled adaptability will change fixed or stagnant current defensive systems into dynamic and self-evolving cybersecurity ecosystems that will respond to emerging attacks in real time.