AI has brought significant advances in automation, decision-making, and content generation, but these benefits carry inherent risks that demand robust security measures. AI security spans data privacy, model integrity, adversarial robustness, and regulatory compliance. This article examines the primary threat vectors targeting AI systems, the key domains requiring protection, and the security controls organizations should put in place to address them
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