As AI becomes embedded across enterprise decision-making, governance is increasingly framed as a board-level responsibility. However, AI authority cannot be sustained without forensic readiness and cyber-risk awareness. This article examines why enterprise AI governance in 2026 must be grounded in digital forensics to ensure demonstrable accountability, auditability, and decision legitimacy under pressure. It argues that cybersecurity and forensics are no longer technical support functions, but core governance infrastructure. Without them, organisations may automate faster, but they lose the ability to retain authority when decisions are contested.
AI governance is increasingly defined through ethical principles, regulatory frameworks, and organisational policies. However, as AI systems operate within contested digital environments, governance models that ignore cyber risk and forensic realities prove structurally inadequate. This article argues that effective AI governance in 2026 requires a shift from abstract frameworks to adversarial-aware control structures. By integrating cyber intelligence and forensic reasoning, organisations can design governance models capable of withstanding manipulation, system degradation, and post-incident scrutiny. Without this foundation, AI governance remains aspirational rather than enforceable, particularly in high-risk, automated decision-making contexts.
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