Ensuring data security and compliance in AI-powered business applications

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Data security and compliance are crucial for businesses adopting AI technologies, increasing the need for effective measures.
AI systems can be targeted by cyber attackers, necessitating robust defenses against data breaches and regulatory issues.
Implementing encryption techniques, such as homomorphic encryption and differential privacy, protects sensitive data in AI applications.
Collaboration between AI developers, cybersecurity experts, and regulatory agencies is essential to maintain data protection and compliance.

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Observational analysis highlights AI security and compliance challenges in businesses, indicating a need for integrated solutions.

Kolawole Joseph Ajiboye (2023) studied this question.

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