Policymakers and program managers are continually seeking ways to improve accountability in achieving an entity's mission. A key factor in improving accountability in achieving an entity's mission is to implement an effective internal control system. An effective internal control system helps an entity adapt to shifting environments, evolving demands, changing risks, and new priorities. As programs change and entities strive to improve operational processes and implement new technology, management continually evaluates its internal control system so that it is effective and updated when necessary. Section 3512 (c) and (d) of Title 31 of the United States Code (commonly known as the Federal Managers' Financial Integrity Act (FMFIA)) requires the Comptroller General to issue standards for internal control in the federal government.

Teaches auditors how to use risk assessment to plan their engagements.

An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk assessment and fraud data analytics, you'll be able to better identify and respond to the risk of fraud in your audits. Proven techniques help you identify signs of fraud hidden deep within company databases, and strategic guidance demonstrates how to build data interrogation search routines into your fraud risk assessment to locate red flags and fraudulent transactions. These methodologies require no advanced software skills, and are easily implemented and integrated into any existing audit program. Professional standards now require all audits to include data analytics, and this informative guide shows you how to leverage this critical tool for recognizing fraud in today's core business systems. Fraud cannot be detected through audit unless the sample contains a fraudulent transaction. This book explores methodologies that allow you to locate transactions that should undergo audit testing. Locate hidden signs of fraud Build a holistic fraud data analytic plan Identify red flags that lead to fraudulent transactions Build efficient data interrogation into your audit plan Incorporating data analytics into your audit program is not about reinventing the wheel. A good auditor must make use of every tool available, and recent advances in analytics have made it accessible to everyone, at any level of IT proficiency. When the old methods are no longer sufficient, new tools are often the boost that brings exceptional results. Fraud Data Analytics Methodology gets you up to speed, with a brand new tool box for fraud detection.

This book assists auditors in planning, performing, and completing audit engagements. It is designed to make auditing more easily understandable.

This textbook provides both the theoretical and concrete foundations needed to fully develop, implement, and manage a Food Fraud Prevention Strategy. The scope of focus includes all types of fraud (from adulterant-substances to stolen goods to counterfeits) and all types of products (from ingredients through to finished goods at retail). There are now broad, harmonized, and thorough regulatory and standard certification requirements for the food manufacturers, suppliers, and retailers. These requirements create a need for a more focused and systematic approach to understanding the root cause, conducting vulnerability assessments, and organizing and implementing a Food Fraud Prevention Strategy. A major step in the harmonizing and sharing of best practices was the 2018 industry-wide standards and certification requirements in the Global Food Safety Initiative (GFSI) endorsed Food Safety Management Systems (e.g., BRC, FSSC, IFS, & SQF). Addressing food fraud is now NOT optional – requirements include implementing a Food Fraud Vulnerability Assessment and a Food Fraud Prevention Strategy for all types of fraud and for all products. The overall prevention strategy presented in this book begins with the basic requirements and expands through the criminology root cause analysis to the final resource-allocation decision-making based on the COSO principle of Enterprise Risk Management/ ERM. The focus on the root cause expands from detection and catching bad guys to the application of foundational criminology concepts that reduce the overall vulnerability. The concepts are integrated into a fully integrated and inter-connected management system that utilizes the Food Fraud Prevention Cycle (FFPC) that starts with a pre-filter or Food Fraud Initial Screening (FFIS). This is a comprehensive and all-encompassing textbook that takes an interdisciplinary approach to the most basic and most challenging questions of how to start, what to do, how much is enough, and how to measure success.

Myth-busting guidance for fraud preventionin a practical workbook format An excellent primer for developing and implementing an anti-fraud program that works, Financial Services Anti-Fraud Risk and Control Workbook engages readers in an absorbing self-paced learning experience to develop familiarity with the practical aspects of fraud detection and prevention at banks, investment firms, credit unions, insurance companies, and other financial services providers. Whether you are a bank executive, auditor, accountant, senior financial executive, financial services operations manager, loan officer, regulator, or examiner, this invaluable resource provides you with essential coverage of: How fraudsters exploit weaknesses in financial services organizations How fraudsters think and operate The tell-tale signs of different types of internal and external fraud against financial services companies Detecting corruption schemes such as bribery, kickbacks, and conflicts of interest, and the many innovative forms of financial records manipulation Conducting a successful fraud risk assessment Basic fraud detection tools and techniques for financial services companies, auditors, and investigators Fraud prevention lessons from the financial meltdown of 2007-2008 Written by a recognized expert in the field of fraud detection and prevention, this effective workbook is filled with interactive exercises, case studies, and chapter quizzes, and shares industry-tested methods for detecting, preventing, and reporting fraud. Discover how to mitigate fraud risks in your organization with the myth-busting techniques and tools in Financial Services Anti-Fraud Risk and Control Workbook.