Join us for a full-day program where CohnReznick’s Cybersecurity, Technology Risk, and Privacy Team will explore four key areas shaping today’s cybersecurity and audit landscape. Topics include:
· Quantifying cybersecurity risks
Quantifying cybersecurity risks is an important element that enables leadership teams to make informed decisions. Methods of quantifying risks are continuously growing through manual and automated efforts, and one that provides significant benefits to decision making involves understanding the potential financial impact of cybersecurity risks. Risk quantification enables organizations to understand the financial consequences, work with insurance providers to lower premiums, and manage cyber risks more effectively.
· Holistic cyber program via Zero Trust Architecture
In today’s ever-changing threat landscape, cybersecurity is everyone’s responsibility. This training will guide you through the core components of a comprehensive cybersecurity program, with a focus on the Zero Trust model. As an auditor, you want to ensure security is embedded into every layer of the organization to ultimately reduce risk, protect data, and respond effectively to incidents.
Core areas we will discuss are Governance, Risk Management, Identity and Access Management, Data Protection and Privacy, Incident Response, and Training/Culture.
· Internal Audit and Data Privacy
As privacy regulations expand globally and consumer expectations rise, organizations face mounting challenges in managing personal data responsibly. This session explores how Internal Audit can play a pivotal role in strengthening privacy programs and mitigating risks. Attendees will learn to identify critical privacy risks, assess compliance across complex regulatory landscapes, and apply practical strategies to enhance privacy maturity. Key topics include integrating privacy with cybersecurity, addressing multi-jurisdictional obligations, and leveraging frameworks like NIST and ISO 27701 to benchmark privacy practices.
· Auditing Artificial Intelligence
With continued evolution of AI solutions and their implementation, IT auditors must gain understanding of basic AI concepts and key areas such as governance, risk management, and privacy. The presentation covers AI models, AI Governance and Program Management, AI Risk Management, Privacy and Data Governance, leading practices/standards, and key controls considerations.
Together, these sessions offer practical insights to help professionals navigate emerging risks and support more secure, compliant, and well-governed organizations.