Concerns persist over fully automated AI systems in security, especially regarding hallucinations and data integrity issues. Organizations are focusing on maintaining data quality and privacy through traditional fact-checking and implementing controls to detect and remediate inaccuracies. Ensuring deterministic outputs from AI models and safeguarding proprietary data are critical steps to mitigate these risks.
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