Problem Statement
How might artificial intelligence (AI) impact GRC practices in the next five years?
Explanation
AI has the potential to transform GRC through predictive analytics for risk, natural-language processing to review policy and control documents, continuous monitoring of control activity and anomaly detection in control execution. For example, AI models can identify patterns of vendor non-compliance automatically, flag emerging regulatory trends, or adapt controls in near-real-time. However, this also introduces new risks (model bias, transparency, data quality). Explaining this dual nature—opportunity and risk—demonstrates forward-thinking maturity. Research studies highlight this growing area in GRC. :contentReference[oaicite:7]{index=7}
Practice Sets
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