Fraud Detection and Prevention in Organizations pan Daniel Njuguna
Caractéristiques
- Fraud Detection and Prevention in Organizations
- Daniel Njuguna
- Format: Pdf, ePub, MOBI, FB2
- ISBN: 9798223459590
- Editeur: ALDIVAN Teixeira TORRES
- Date de parution: 2023
Livres gratuits en téléchargement Fraud Detection and Prevention in Organizations (French Edition) par Daniel Njuguna
Overview
Description: Fraud Detection and Prevention in Organizations is a comprehensive guide that equips readers with the knowledge, tools, and strategies necessary to detect, prevent, and respond to fraud within organizational settings. The book addresses the critical importance of fraud detection and prevention, exploring its impact on organizations and emphasizing the need for effective measures to safeguard against fraudulent activities.
The book begins by providing a solid foundation in understanding fraud, defining its various types, such as financial statement fraud, employee theft, procurement fraud, cyber fraud, and occupational fraud. It delves into common fraud schemes and examines the profile of a fraudster, helping readers recognize the warning signs and characteristics associated with fraudulent behavior. A key aspect of fraud prevention is conducting a comprehensive fraud risk assessment.
The book guides readers through the process of identifying vulnerabilities and weaknesses within an organization, assessing fraud risks, and developing a robust risk assessment framework. It emphasizes the importance of conducting internal control reviews to strengthen preventive measures. Fraud detection techniques are explored in detail, including the role of data analytics, red flags and warning signs, internal and external audits, whistleblowing, and forensic accounting.
The book provides practical insights and methodologies for effectively detecting and investigating fraud. To prevent fraud, the book presents strategies for developing an anti-fraud culture, implementing effective internal controls, ensuring segregation of duties and authorization controls, and conducting fraud awareness and training programs. It emphasizes the importance of continuous monitoring and improvement to enhance fraud prevention efforts.
Technology's role in fraud prevention is thoroughly examined, covering fraud prevention tools and software, data security and privacy measures, the use of AI and machine learning, and the application of blockchain technology. Real-life case studies demonstrate how technology can be leveraged to detect and prevent fraud. Legal and ethical considerations in fraud prevention are addressed, including laws and regulations related to fraud, ethical standards, whistleblower protection, and cooperation with law enforcement agencies.
The book provides guidance on creating an incident response plan, managing fraud investigations, disciplinary actions, implementing corrective measures, and learning from past incidents. Additionally, industry-specific fraud prevention strategies are discussed for banking and finance, healthcare, government and public sector, retail and e-commerce, and manufacturing and supply chain. The book concludes with a review of future trends in fraud detection and prevention, exploring emerging technologies, advancements in data analytics, cybersecurity challenges, professional development opportunities, and ethical considerations in the digital age.
Fraud Detection and Prevention in Organizations serves as a valuable resource for professionals, managers, auditors, and anyone concerned with mitigating the risks associated with fraud. Its practical approach, comprehensive coverage, and emphasis on preventive measures make it an essential guide for organizations seeking to protect their assets, reputation, and financial well-being.
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