Evaluating the Effectiveness of Artificial Intelligence in Integrated System Architectures to Combat Cybersecurity Threats

The Internet of Things (IoT) and Artificial Intelligence (AI) offer powerful solutions for various applications. However, this digitalization boom also increases cybersecurity threats. Organizations are integrating AI into critical systems to combat cybercrime. This study explores the effectiveness of AI techniques like machine learning and deep learning in identifying and defending against cyber threats, particularly those created by AI tools. This research critically evaluates the effectiveness of AI-powered security systems in detecting and responding to a wide range of cyber threats. The study analyzes existing literature on AI in cybersecurity threats and integrated system architecture security. AI is a double-edged sword in cybersecurity, used for both defense and offense. AI integration enhances cyberattacks' effectiveness, potentially disrupting benign AI algorithms. As AI becomes more prevalent, understanding its role in cybersecurity is crucial for developing strong defenses. Studies show promise in integrating AI into the Internet of Things for threat detection and prevention. Machine learning and deep learning algorithms are used in Intrusion Detection Systems to identify attacks and improve overall IoT security.