Insider fraud occurs when employees, contractors, business partners, or other trusted individuals misuse their legitimate access to systems, data, or company resources for personal or financial gain. Unlike external fraud, insider fraud can be difficult to detect because the individual may already have authorized access. Common examples include unauthorized transactions, payroll manipulation, expense fraud, theft of sensitive information, misuse of customer data, and collusion with external fraudsters. Insider fraud can result in financial losses, data breaches, regulatory issues, and significant reputational damage. Organizations can reduce these risks through pre-employment background verification, role-based access controls, segregation of duties, continuous activity monitoring, and regular internal audits. AI-powered behavioral analytics can also help identify unusual access patterns or suspicious activities.