Policies Against Fraud and Cybercrime

In an age of rapid digitisation, fraud and cybercrime have transformed into intricate risks affecting individuals, enterprises, and governments. The expansion of e-commerce, online banking, and mobile payments has heightened hazards like ransomware, identity theft, phishing, and money laundering, with anticipated losses estimated at USD 10.5 trillion per year by 2025. This paper presents a comprehensive framework that integrates strategic policies, robust regulatory measures, and cutting-edge technologies—AI, machine learning, blockchain, and behavioural analytics—to identify and mitigate fraud. It analyses international rules (e.g., GDPR, CCPA, EU AI Act, FATF AML) and transnational collaboration, supplemented by case studies from the banking, e-commerce, and governmental sectors. Challenges such as adversarial AI, algorithmic bias, and disconnected response systems are tackled, with resilience techniques encompassing adversarial training and privacy-preserving analytics.