AppPoet explores the c dbusios_PHONE_NUMBER_REMOVED of LLMs in enhancing Android malware detection through a new methodology.

• Uses static and dynamic data analysis combined with an LLM framework.
• Examines the behavior of apps to generate comprehensive diagnostic reports.
• Achieves high accuracy and efficiency in detecting malware on Android devices.

This study manifests a strategic enhancement in cybersecurity defenses, utilizing the cognitive capabilities of LLMs to interpret complex data and respond to security threats more efficiently. This integration signifies a crucial development in the intersection of AI and cybersecurity, potentially revolutionizing how threats are identified and managed in vast digital platforms.