Secure AI systems demand a comprehensive approach that integrates security throughout their design, development, and deployment phases to address unique risks such as data poisoning and model extraction. This strategy is crucial for developers and tech professionals to protect against evolving cyber threats and ensure the integrity of AI applications. Implementing continuous monitoring and automated retraining pipelines will be key to maintaining system resilience in dynamic environments.
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