A contribution from Christophe Gaultier, Director OpenText Cybersecurity France & Belux
In the era of GenAI, transforming the approach of companies to security, privacy and data governance becomes necessary.
In terms of cybersecurity, the emergence of new technologies is accompanied by risks, particularly financial. GenAI stands out as a powerful force, integrating seamlessly into business operations while exposing organizations to unprecedented vulnerabilities.
Time magazine has identified “ungoverned AI” as one of the top risks of 2024, so it is necessary for businesses to proactively address these risks. Companies have already encountered risks related to the use of GenAI in areas such as data privacy, legal obligations and intellectual property. Finding a way to harness the power of GenAI while effectively mitigating data risks becomes important.
The landscape is also shaped by new European cybercrime laws, such as NIS2, or President Biden’s latest decree. Regulations that increase the personal obligations and responsibilities faced by management bodies, including boards of directors and executives of companies. It’s a complex web where financial risk intersects with AI and sensitive data.
How to thrive in the face of GenAI risks?
Identification of strategic risks
The first step for an organization seeking to leverage GenAI is to identify strategic risks by assessing the potential for data breaches, the integrity of decisions made by AI, and the reliability of AI systems. By understanding these risks, businesses can develop strategies to protect themselves.
Measuring data risk
It is necessary to quantify the financial impact of data risks, notably through knowledge of the nature of the data possessed and by implementing robust protection measures, particularly in the context of GenAI. Proper discovery and protection techniques can radically compensate for disruptions and reduce associated costs by at least 64%.
Unlock opportunities
Despite the risks, GenAI offers exciting prospects in cybersecurity by leveraging advanced AI algorithms. By quickly and accurately identifying threats, it can protect against significant financial losses. It is important to recognize that an effective AI strategy is inseparable from a robust data strategy. Ensuring data security is essential to unlocking the full potential of GenAI.
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