Generative AI in Security: Risks and Mitigation Strategies
Briefly

Siva Sundaramoorthy noted that generative AI's ability to predict answers can lead to issues with accuracy, as it often selects only the most probable response, potentially overlooking other correct answers depending on the context.
He emphasized the need for cybersecurity professionals to categorize AI use cases into three perspectives: usage, application, and platform, for effective protection. "You need to understand what use case you are trying to protect," he stated.
Sundaramoorthy highlighted that with generative AI, certain security risks are heightened compared to traditional systems. He identified seven adoption risks, including bias, misinformation, and overreliance, which complicate the security landscape.
He remarked that once organizations identify how they utilize AI, they can apply similar security measures as those for other systems, while acknowledging that generative AI introduces distinct risks not found in conventional technologies.
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