Insurance fraud, which involves deceit to gain undeserved benefits, significantly impacts the economy, consumer costs, and the insurance industry's competitiveness. The most common fraudulent activities include inflating claims, misrepresenting facts, and filing false claims, affecting various sectors such as auto, healthcare, workers’ compensation, and disaster-related insurance. These fraudulent practices lead to substantial financial losses for insurers and increased premiums for consumers, with estimates suggesting that fraud costs US consumers at least $80 billion annually. Efforts to combat this issue include leveraging advanced technologies like artificial intelligence and machine learning to identify suspicious activities and enhance operational efficiency. Collaborative data sharing among insurers also plays a crucial role in detecting fraud, although privacy concerns must be addressed. The adoption of innovative solutions and technologies is essential to mitigate the prevalence of fraud, improve customer trust, and ensure the sustainability and profitability of insurance portfolios.