Nos derniers articles

A structured IT outsourcing risk management policy is crucial for navigating third-party service complexities. This study proposes a framework integrating IT outsourcing principles with COBIT standards, covering risk identification, analysis, mitigation, and ongoing monitoring. Implementing this policy enhances organizational asset protection, operational continuity, and minimizes outsourcing risks. It improves information security and business process efficiency. This framework provides practical guidance for organizations to effectively manage risks and optimize IT outsourcing value.

#regulators recently issued #cybersecurity #disclosure guidelines to enhance #transparency and #accountability among firms. A study analyzed cybersecurity disclosure practices among a sample of Toronto Stock Exchange firms over seven years. Findings indicate a notable increase in disclosure after 2017 guidance by #canadian Securities Administrators. However, improvements are needed, especially in #governance and #riskmitigation disclosure. This study sheds light on policy's impact on cybersecurity transparency.

The article delves into #ethical concerns with #aitools in #legal and #tax research, addressing #output #quality, #bias, #verifiability, #liability, and #privacy #risks. It explores #regulatory, #tech, and professional solutions, offering practical advice for tax professionals to safely navigate AI's challenges with #riskmitigation.

This study investigates the #riskmitigation and #internalcontrols organizations implement in their Robotic Process Automation (#rpa) deployments in #accounting. RPA #governance models range from being fully centralized to being entirely decentralized. RPA #risk and #control oversight includes unique #riskassessments for the RPA accounting environment.

Corporate #riskmanagement encompasses both financial hedging and #operationalrisk #riskmitigation. This study investigates how #laborlaw #breaches during surprise inspections impact supplier choices in major #us firms.

#bayesian data imputation is a technique used to fill in missing data in a variety of fields, including #riskmanagement. By employing imputation techniques to fill in the gaps, #riskmanagers can obtain a more comprehensive and reliable understanding of the underlying #risk factors, enabling them to make informed decisions and develop effective strategies for #riskmitigation.

"... its ability to provide relevant #riskmitigation strategies was identified as its strongest aspect. However, the research also revealed that #chatgpt's consistency in #riskassessment and prioritization was the least effective aspect. This research serves as a foundation for future studies and developments in the field of #ai-driven #riskmanagement, advancing our theoretical understanding of the application of #aimodels like ChatGPT in #realworld #risk scenarios."

While previous research has focused on #cyberrisk #riskmitigation measures, this study describes the emergence of various real-world cyber #risktransfer products in the last decade, including #warranties, #cloudcomputing partnerships, #parametricinsurance, #reinsurance, and #cyber #catbonds.

This paper explores the implementation of the #eu's #digitalservicesact (#dsa) with a specific focus on the #riskassessment and #riskmitigation regime outlined in Articles 34-35"

The #eu Digital Services Act (#dsa) establishes a #riskassessment and #riskmitigation regime to address issues like harmful content and structural discrimination, and codes of conduct are meant to guide interpretation of these obligations.