Data poisoning is a silent but devastating threat to businesses leveraging AI.
By manipulating training data, attackers can disrupt operations, compromise decision-making, and expose organizations to severe security breaches.
The implications span financial losses, reputational harm, and compliance risks, particularly for sectors heavily dependent on AI solutions.
Proactive measures are crucial to mitigate these risks and safeguard customer trust.
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