Security in AI is not merely an add-on; it must be woven into the entire infrastructure. This integration is key to meeting both regulatory standards and organizational needs.
Around 70% of IBM survey respondents argued innovation trumps security, highlighting a prevalent tension where while most acknowledge security's necessity, actual implementation in projects remains low.
The escalating concerns around AI governance emphasize that as we harness generative AI's potential, we must also accept the accompanying responsibility for rigorous data protection.
Addressing the quality degradation in AI responses requires a dual focus on user-experience design and robust security measures to avoid interference by bad actors.
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