While AI systems are designed to learn and adapt, their security is only as robust as the algorithms, training data, and safeguards embedded within their design.One significant concern is the vulnerability of AI agents to exploitation. These vulnerabilities often stem from inadequate safeguards, lack of ethical frameworks, or flaws in the underlying programming. Addressing these weaknesses requires rigorous testing, secure development practices, and constant updates to counteract emerging threats.
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