This proposal introduces a novel system for data hiding in binary images, integrating visual cryptography with Spiking Neural P (SN P) systems incorporating astrocyte-controlled structural plasticity. The SN P system automatically generates the cryptographic shares required for the visual encryption process. A secret message is split into 5-bit groups: the first 3 bits are embedded in the first share, and the remaining 2 bits in the second, using predefined and visually imperceptible patterns to preserve image appearance. This embedding strategy ensures that the visual content of the shares remains practically unchanged, thus maintaining discretion and security. Experimental results show the shares do not display significant visual changes post-embedding. To assess the effectiveness of the proposed method, quantitative metrics such as entropy and the Structural Similarity Index (SSIM) were employed, ensuring objective and reproducible evaluation. The average SSIM value obtained was 0.44885, reflecting a moderate degree of structural similarity between the original and the resulting images after data hiding. The results indicate high structural preservation with only minor variations in entropy. These findings objectively demonstrate the low perceptual impact of the hiding process and the high level of discretion achieved by the method.