This white paper from Salus GRC provides a framework for assessing AI risk, focusing on confidentiality, access, data accuracy, bias, and governance. It warns that input data can be misused or breached, exposing firms to privacy violations or intellectual property loss. Risks include hallucinations, data poisoning, discrimination, and copyright issues. Regulatory concerns span GDPR, HIPAA, NDAs, and compliance with archiving rules. To mitigate these, firms should establish monitoring, access controls, independent data verification, and strong governance structures such as AI committees. Clear roles, accountability, and risk-based policies are essential for responsible AI deployment.

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