This work represents an approach that uses the Black Widow Optimization (BWOA) method, a powerful encryption technique, to improve the security of iris biometric data. As it is dependable and distinctive. Nowadays, iris recognition became much popular in biometric identification systems. But still, to keep the confidentiality and privacy of iris images is a significant obstacle. By using traditional security techniques, it can be difficult to afford protection to confidential biometric data from attacks and intrusions. In this approach, we proposed a distinctive encryption technique that joins the features of Black Widow Optimization algorithm with the benefits of iris image cryptography. This recommended method is a multi-phase encryption strategy that includes feature extraction, encryption and decryption phases. The BWOA maximize the encryption settings, accelerating the encryption operation security and strength. The black widow spiders with their hunting behavior stimulates it. Researches on common iris image database shows how effective and strong the proposed method is. A complete evaluation of performance criterion, such as encryption/decryption speed, key sensitivity, and strength to frequent attacks, shows the superiority of BWOA-based Encryption over traditional security techniques. The outcomes show that iris image encryption has significantly improved efficiency and security, making it more resilient to security risks. Additionally, comparisons with current encryption methods demonstrate the advantages and potential of the suggested approach for protecting private iris biometric data. This research advances biometric data security by providing a strong encryption framework that uses the Black Widow Optimization algorithm. It has promising implications for secure iris image authentication systems in various applications that demand elevated security and privacy measures.