数字世界中的审计

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IT风险的交集, 澳门赌场官方下载风险, and Internal 审计 is a critical area in modern organizations where various risk management functions converge to ensure comprehensive risk oversight and management. Each function, when combined, provides a more holistic approach to risk management. We shall discuss the key benefits of this intersection, how organizations can manage risk effectively, the benefits of cross-function data sharing and how the role of audit is transforming with the advent of LLM AI and cyber risk quantification.

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加入 us for a webinar on navigating the evolving landscape of audit processes amidst today’s rapid technological advancements. We will cover a broad range of essential topics, including:

• The impact of AI, cloud computing, IoT and big data on audits
• The risks and vulnerabilities posed by these technologies
• How to overcome common challenges in implementing AI in audit processes
• 基本工具和方法

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As regulations expand amid today’s dynamic risk environment, including the SEC ruling on cybersecurity disclosures, organizations struggle to stay in compliance and determine the most cost-effective methods to protect their business from emerging threats. 另外, many organizations are still managing IT risks with outdated technology and are taking an ad-hoc, 被动的方法, leaving them at elevated risk of a data breach or privacy violation.

This session will explore the benefits of building an effective IT audit program that leverages recent AI advances, and provide steps teams can take to address shortfalls and gaps in their program.

在本届会议上，我们将:

1. 回顾IT审计的基础, including best practices for identifying, 评估, 解决风险.
2. Discuss historical and common pain points and bottlenecks and why and how to avoid them in your practice.
3. Explore forward-thinking practices to elevate and advance your IT risk management program.
4. Describe real-world examples of how enterprises are currently leveraging AI and other modern technologies to build more effective and efficient IT audit programs.

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This session equips IT auditors with comprehensive strategies for developing and implementing an AI Risk Control Matrix (AI RCM) to effectively manage and mitigate AI-related risks. Participants will explore the process of identifying, 评估, 以及优先考虑人工智能风险, followed by the formulation of targeted control measures. The course emphasizes the importance of continuous risk monitoring and the roles of cross-functional teams in ensuring ethical AI use and compliance. Through practical examples and interactive discussions, attendees will learn to integrate AI RCM into their auditing frameworks, enhancing their ability to oversee and guide AI implementations within their organizations.