The regulatory grip has tightened in areas like anti-fraud, anti-bribery, and anti-money laundering. Fraud, corruption, and abuse are, however, inexorable—and ever-changing. Fraud analytics software adopts a dynamic fraud and bribery detection approach which aids in ironing out these complications. It fits in analytical technology with human interaction to spot potentially improper transactions, such as fraud and bribery, before or after they occur. The process of fraud analytics entails collecting and preserving pertinent data, as well as mining it for patterns, anomalies, and irregularities. The findings lend valuable insights, helping firms manage possible dangers before they happen. Features of Fraud Analytic Software Unsupervised models that are not restricted by rules are frequently used in fraud analysis software, allowing it to detect new trends and patterns as well as uncover fraudulent schemes and possibilities with precision, free from human error. The traditional approac