In a recent podcast, Mathieu Gorge, CEO of Vigitrust, delved into the significant effects of artificial intelligence (AI) on data management, particularly regarding compliance and storage challenges that Chief Information Officers (CIOs) encounter. He highlighted the complexity of tracking the vast amounts of data generated by AI processes and the importance of adhering to evolving legal and regulatory frameworks.
Key Topics Affecting Compliance and Data Storage
As the RSA event approaches, Gorge anticipates a focus on AI technologies, including discussions around the security of AI systems themselves rather than just those enhanced by AI. He notes the growing interest in quantum computing and its implications for storage and compliance, especially in light of changes brought by the new U.S. administration and the EU’s AI regulatory frameworks.
Advancements in AI Impacting Compliance
Last year, AI became a prevalent topic as organizations aimed to integrate it into their operations to enhance data utilization. Gorge observes that many companies have started to implement their own versions of AI tools akin to ChatGPT, fostering greater control over their AI applications. This increased adoption raises questions about how AI influences data classification, protection, and governance.
Numerous security organizations are establishing AI governance working groups to navigate the regulations surrounding AI technology. At Vigitrust, similar initiatives are underway to track regulatory developments affecting AI. Areas of focus include understanding data management implications and ensuring compliance with applicable regulations amidst an explosion of data generated by AI.
Impacts of U.S. Administration on Compliance
The current U.S. administration is poised to encourage the integration of AI within organizations, seeing it as a significant opportunity. This push is accompanied by the establishment of comprehensive governance frameworks by entities like NIST and the Cloud Security Alliance. As with previous regulatory trends following GDPR in Europe, similar AI regulations may emerge in the U.S. over time, potentially mirroring the EU’s approach.
EU’s Regulatory Developments Regarding AI
In Europe, the perception of AI is more cautious, viewed as both an opportunity and a threat. Each EU member state is contemplating its own regulations in addition to the overarching EU framework, particularly in relation to GDPR compliance. Implementing AI can shift data governance, leading to debates about data ownership and management responsibilities.
The integration of AI technologies raises critical questions regarding data classification, storage, potential biases in data handling, and overall compliance with privacy regulations like GDPR. Additionally, the environmental impact of AI’s substantial resource demands prompts discussions about sustainability in IT. Organizations are encouraged to conduct thorough risk assessments and develop strategies for secure data storage and compliance management.