NDLI: Cyber Securities Issues Fraud and Corruption

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Cyber Securities Issues Fraud and Corruption

Content Provider	Scilit
Author	Waymond, Rodgers
Copyright Year	2020
Description	In tackling fraud, organizations must begin by discovering and assessing their baseline risks and investigating the different types of frauds to which they are vulnerable. While external threats such as cyber criminals may attract the most attention, organizations cannot ignore risks closer to home. Prevailing over internal fraud is a strategic challenge. Organizations' managers and executives must employ anti-fraud programs, which encompass training for all employees, especially those in high-risk areas. This can assist personnel to recognize dubious activity and areas that malicious actors could possibly manipulate. Moreover, it provides an organization to communicate its commitment to high ethical standards and procedures as well as fraud prevention. Biometrics is smart; however, biometrics enhanced with AI tools increases the efficiency of the control system. Biometrics such as fingerprint, facial recognition and iris scans are being implemented for authenticating employees at the workplace and identifying smartphone owners. Such biometrics can be used in organizations to authorize data access for confidential data. Book Name: Artificial Intelligence in a Throughput Model
Related Links	https://content.taylorfrancis.com/books/download?dac=C2018-0-96835-7&isbn=9780429266065&doi=10.1201/9780429266065-6&format=pdf
Ending Page	174
Page Count	27
Starting Page	148
DOI	10.1201/9780429266065-6
Language	English
Publisher	Informa UK Limited
Publisher Date	2020-03-06
Access Restriction	Open
Subject Keyword	Book Name: Artificial Intelligence in a Throughput Model Information Systems Organizations Biometrics Risk Areas Data Access Anti Fraud Identifying Smartphone Employ Anti Authorize Data
Content Type	Text
Resource Type	Chapter

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