Sign Language Processing (SLP) refers to the use of artificial intelligence and computational methods to recognize, interpret, and translate sign languages. Unlike spoken languages, sign languages are visual and spatial, relying on hand shapes, movements, facial expressions, and body posture. SLP combines computer vision, natural language processing, and machine learning to bridge communication gaps between sign language users and non-signers. Applications include real-time translation, accessibility tools, and automated sign language recognition systems. In cybersecurity, SLP can enhance secure communication channels for the deaf and hard-of-hearing community, ensuring privacy and accessibility in digital interactions.