Data corruption implies a breach in data integrity, where information becomes inaccurate, incomplete, or unusable due to various factors such as hardware failures, software bugs, or malware. This corruption can impact the reliability of systems, leading to potential loss of critical information and significant operational challenges. Addressing data corruption often requires rigorous backup strategies, error detection and correction mechanisms, and regular maintenance to ensure data remains intact and trustworthy. In contexts where data integrity is paramount, such as finance or healthcare, preventing corruption is essential for compliance and decision-making.