Cybersecurity and generative AI : an urgent need for regulation

cybersecurity

Growing awareness among SMEs

As regulators worldwide begin to examine generative AI, SMEs, often less equipped to address digital threats, are increasingly aware of the importance of this regulation in the field of cybersecurity. However, the persistent ambiguity surrounding authorized uses of this technology underscores the need for clear and consistent guidance, tailored to the needs and capabilities of small and medium-sized enterprises.

In many cases, SMEs rely on basic IT security solutions, making them particularly vulnerable to attacks exploiting generative AI. Awareness of these growing threats is driving many SMEs to demand stricter regulations to protect their data and online operations.

Varying regulations across regions

While some countries, such as the United States and the European Union, are adopting strict measures to regulate generative AI, others, such as Japan, are taking a more flexible approach. This diversity of regulations creates a complex environment for SMEs operating globally, thereby highlighting the need for harmonized international guidelines to ensure effective and ethical cybersecurity in the small business sector.

Current regulations often focus on data protection and transparency, but significant gaps remain regarding specific uses of generative AI in the context of SME cybersecurity. Legislators must consider the unique needs of these businesses and ensure that regulations are adapted to their size and capabilities.

Maintaining trust in AI while protecting security

As attacks using generative AI become increasingly sophisticated, it is crucial to maintain public trust in this technology while protecting the data security of SMEs. Clear and transparent regulation, combined with close collaboration between governments, businesses, and regulators, is essential to ensure that generative AI is used responsibly and ethically in the field of SME cybersecurity.

 

Source : Le monde Informatique

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