LLMs have various applications and are being used in different industries. They can be used for branding, content localization, demand forecasting, code writing, and more. However, they are also being exploited by cybercriminals. There are two types of LLMs: proprietary and open-source. They both have their advantages and limitations. There are risks associated with the adoption of LLMs, such as sensitive data exposure, malicious use, unauthorized access, and DDoS attacks. To minimize these risks, organizations should implement input validation, API rate limits, and proactive risk management practices. #CyberSecurity #CyberSecurityNews #LargeLanguageModels
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