Topic

Incident Tracking

Incident tracking is the systematic process of documenting, monitoring, and managing AI-related security breaches, data exposures, model failures, and compliance violations from detection through resolution. For enterprise AI governance, robust incident tracking ensures accountability, enables root cause analysis, and provides auditable records required for regulatory reporting and breach notifications. Organizations use incident tracking systems to measure response times, identify patterns in AI system failures, and drive continuous improvements to their AI risk management practices.

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Corporate PolicyUS2026-05-26

AI Incidents Rose 26% From 2022 to 2023, NACD Guidance Urges Boards to Adapt Oversight

The National Association of Corporate Directors has published governance guidance titled 'Tuning Corporate Governance for AI Adoption,' calling on boards to adapt oversight mechanisms to address AI-specific risks including hallucinations, data privacy concerns, and algorithmic bias. The guidance references AI Incident Database figures showing a 26 percent increase in AI incidents from 2022 to 2023, with 2024 data suggesting a further rise exceeding 32 percent. It is directed at US corporate boards and positions AI risk oversight as a core board-level responsibility.

United States board oversight AI risk incident tracking corporate governance algorithmic bias transparency accountability data privacy risk management