LEVERAGING MACHINE LEARNING AND AI IN MATLAB FOR ENHANCED CYBERSECURITY AND DATA INTEGRITY THROUGH ADVANCED INTELLIGENCE GATHERING TECHNIQUES

In the age of digital transformation, cybersecurity and data integrity have emerged as critical concerns.The integration of machine learning (ML) and artificial intelligence (AI) within MATLAB offers promising solutions to these challenges, particularly through advanced intelligence-gathering techniques.This article explores the use of ML and AI in enhancing cybersecurity, focusing on preemptive identification and mitigation of cyber threats.By employing MATLAB's sophisticated algorithms and tools, organizations can develop robust security frameworks that not only detect anomalies but also predict potential threats, thereby safeguarding sensitive information.The study highlights the importance of incorporating AI-driven techniques in cybersecurity strategies and presents a comprehensive methodology for implementing these techniques within the MATLAB environment.Results demonstrate the efficacy of these approaches in improving threat detection accuracy and data integrity, pointing to future directions for research and development in this critical field.