The rapid growth of AI technologies has driven innovation across industries but also introduced new security risks, particularly in protecting data and maintaining integrity. AI-driven attacks can target data sources, models, and applications, leading to manipulation, data leakage, or compromised decision-making. Securing AI data applications requires strong protection measures, including safeguarding data in transit, ensuring integrity of source data, and mitigating vulnerabilities within AI systems. Best practices involve improving visibility, enforcing strict controls, and adopting advanced security solutions. Technologies like MTE help address these challenges by protecting data at a fundamental level, ensuring trust, resilience, and security in AI environments while supporting reliabl

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