The rapid digitalisation of Indigenous nations has brought both significant opportunities and emerging vulnerabilities as governments, financial institutions, and communities increasingly rely on digital services. However, limited local expertise, constrained resources, and dependence on external infrastructures amplify exposure to evolving cyber threats. Artificial Intelligence (AI)-driven cybersecurity solutions, including automated threat detection, predictive analytics, and adaptive response systems, offer promising pathways to enhance digital resilience. Yet, their adoption also raises critical concerns surrounding data sovereignty, cultural alignment, and reliance on foreign technology providers. This article examines these dynamics by exploring how AI-enhanced cybersecurity can protect essential services, including healthcare, banking, and education, while addressing risks of bias, exclusion, and digital dependency. Through case examples such as AI-based fraud detection, the discussion highlights both practical advantages and governance complexities. As Indigenous researchers, we advocate for community-driven and culturally grounded cybersecurity strategies that integrate ancestral knowledge with technical expertise to inform ethical, inclusive, and resilient AI security frameworks for Indigenous futures.