AI security: establishing the first and last layer of defense
Posted by:
Sarah Collins
With the global usage of generative AI nearly doubling in the past year, businesses are increasingly vulnerable to cyber attacks. While organizations invest heavily in training their own AI models for tailored responses, the rise of agentic AI presents new opportunities for innovation. However, cybersecurity risks loom large, with in-house AI models becoming prime targets for hackers due to the valuable data they hold. Existing security frameworks often fall short, emphasizing compliance over true data protection. Physical network segmentation emerges as a key defense strategy, allowing organizations to isolate and protect their AI models from potential threats. Benefits include enhanced security, regulatory compliance, and efficient incident response. As AI continues to play a vital role in businesses, proactive measures are essential to safeguard against cybersecurity threats and ensure uninterrupted operations.
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