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Navigating the Intersection of AI and Financial Risk: A Proactive Approach

Blog: OpenText

In the ever-evolving realm of cybersecurity, organizations find themselves at the forefront of a dynamic landscape. As new technologies emerge, so do the financial risks associated with their adoption. Among these technologies, GenAI stands out as a powerful force, seamlessly integrating into business operations while simultaneously exposing organizations to unprecedented opportunities and vulnerabilities. 

In its recent assessment, Time has identified “ungoverned AI” as one of the top risks of 2024. This underscores the imperative need for organizations to proactively approach their risk analysis. Already, businesses have encountered risks related to the use of GenAI in areas such as data privacy, legal obligations, and intellectual property. As we embrace the potential of GenAI, organizations must strike a delicate balance: harnessing its power while effectively mitigating data risk. 

But that’s not all. The landscape is further shaped by new EU cyber laws, including NIS2, and the latest executive order issued by President Biden. These regulations accentuate the obligations and personal liabilities faced by management bodies, including company boards and executives. It’s a complex web where financial risk intersects with AI and sensitive data. 

How to Thrive Amidst GenAI Risks 

Strategic Risk Identification  

The first step for an organization looking to leverage GenAI is to identify the strategic risks that it poses. This includes assessing the potential for data breaches, the integrity of AI-driven decisions, and the reliability of AI systems. By understanding these risks, organizations can develop strategies to effectively safeguard their high-value data.  

Measuring Data Risk  

Understanding and quantifying the financial impact of data risks is crucial. By knowing the nature of the data you possess and implementing robust protective measures, particularly in the context of GenAI, you can significantly mitigate these risks. Proper discovery and protection techniques can drastically offset disruptions and reduce associated costs by at least 64 percent.  

Unlocking Opportunities  

Despite the inherent risks, GenAI presents compelling prospects for strengthening cybersecurity measures. By leveraging advanced AI algorithms, organizations can swiftly and precisely identify threats, potentially safeguarding them from substantial financial losses. It’s important to recognize that an effective AI strategy is inseparable from a robust data strategy – ensuring data security is paramount in unlocking GenAI’s full potential.  

Join us for an enlightening webinar that will delve into the complexities of managing your enterprise data landscape in the age of GenAI. Discover advanced methodologies that integrate data discovery, classification, insights, protection, usage monitoring, and lifecycle management. Whether you’re a CISO, CIO, CDO, CFO or in a similar role, this webinar will equip you with the knowledge to gain unprecedented visibility into your data, ensure secure information sharing, and navigate privacy compliance with confidence. Don’t miss out on the opportunity to transform your organization’s approach to data security, privacy, and governance in the age of GenAI. 

For more information about our data security offerings:  

The post Navigating the Intersection of AI and Financial Risk: A Proactive Approach appeared first on ONE OpenText Blogs.

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