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Open Source Securities released a research report saying that with the accelerated implementation of AI application scenarios such as large models and smart devices, security risks brought by AI have penetrated into core business processes, and also spawned new systemic risks such as reminder injection, model poisoning, and multi-agent collaborative deception. In 2027, AI application security will remain the largest category of expenditure, which is expected to reach nearly US$851 million, followed by AI usage control, which is expected to reach US$749 million. In the AI era, cybersecurity has entered the stage of “AI versus AI”, and the industry has also ushered in new development opportunities.
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Open Source Securities released a research report saying that with the accelerated implementation of AI application scenarios such as large models and smart devices, security risks brought by AI have penetrated into core business processes, and also spawned new systemic risks such as reminder injection, model poisoning, and multi-agent collaborative deception. In 2027, AI application security will remain the largest category of expenditure, which is expected to reach nearly US$851 million, followed by AI usage control, which is expected to reach US$749 million. In the AI era, cybersecurity has entered the stage of “AI versus AI”, and the industry has also ushered in new development opportunities.
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