Data governance in an evolving regulatory environment

This paper highlights the growing need for robust data policies in an ever-evolving regulatory landscape, outlining key strategies for compliance, effective audit mechanisms, and the risks of non-compliance.

In an era where data analysis, data mining and artificial intelligence (AI) have become increasingly integrated into core business strategies, exposure to cybercrime and privacy breaches have amplified over the years. In response, legal regulations regarding data security have become more stringent and refined to ensure client data protection and organisational accountability.

Within the past years, the EU has introduced the NIS2 Directive, a scope expansion of former NIS1, and the EU AI Act, targeting the rapid rise of AI deployment within companies. With these continuous regulatory developments, robust and comprehensible data governance has become more than ever a critical strategic component in organisations.

This white paper delves deeper in the growing importance of robust data policies in a rapid-changing regulatory environment. It explores key strategies for effective compliance and audit mechanisms and the potential risks of non-compliance.

Our expert consultant view

Jean-François Dierckx says:

"Our team recognises the rapid rise of AI and its growing impact on daily business operations. While AI brings innovation and efficiency, firms must learn to become equipped against the challenges and threats that come with it, such as data leakage, privacy violations and AI-facilitated cyber attacks."

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