In the realm of cognitive computing, integrating self-adaptive and self-organizing systems is pivotal for efficiency, autonomy, and security. Our paper, “A Secure Self-Adaptive System in Cognitive Computing,” explores a robust system design tailored for dynamic environments. Leveraging natural language processing and machine learning, it adjusts to environmental changes and threats. Our approach enhances performance with feedback mechanisms and decentralized control, critical for healthcare, finance, and smart infrastructure. With adaptive security measures, the system maintains resilience against cyber threats without compromising functionality. Supported by empirical evidence, our findings demonstrate significant improvements in efficiency, resilience, and autonomy, marking a notable advancement in cognitive computing.