The rise of artificial intelligence (AI) is uncovering vulnerabilities in enterprise data governance, as organizations grapple with managing information rather than applications and users. As companies rely on AI to analyze, create, research, and make decisions using enterprise data, experts say data governance is becoming a priority.
According to industry research, over 50% of employees are already using AI outside of corporate systems, raising concerns about shadow AI. However, experts say the bigger issue is understanding how enterprise information is being used, accessed, and processed by employees and systems.
AI is fundamentally changing the value of enterprise data as it empowers organizations to analyze, summarize, and act on information instantly. Documents that previously required human analysis can now be processed by AI to extract business intelligence in seconds.
This makes enterprise information more valuable than ever before as it becomes embedded in decision-making processes and systems.
As the value of enterprise data increases, so does the need to ensure its context is appropriately maintained. Experts say that business documents, customer data, intellectual property, and presentations have value and meaning based on their intended use.
As this information is shared internally and externally and processed by AI, policies, accountability, and governance must be attached to the data to ensure it is used as intended.
Security professionals say information governance should be connected to the data itself rather than where that information is stored. They recommend that policies, procedures, and enforcement be attached to the information to ensure its proper use in an increasingly distributed and AI-driven enterprise.
Trust is quickly becoming a critical success factor for organizations that want to maximize the value of AI while minimizing risk. Business leaders, regulators, and customers are demanding more excellent transparency, which puts pressure on enterprises to ensure sensitive information is handled responsibly. Experts say organizations that get governance right will be best positioned to adopt AI while maintaining the trust of their stakeholders.
The next wave of AI innovation will include autonomous agents that can access and retrieve information, coordinate tasks, make recommendations, and take action across enterprise systems. These AI agents will require access to data, which means organizations must have robust information governance practices to ensure the data being processed is accurate and secure.
As the capabilities of AI continue to evolve, enterprises are focusing on ensuring the information that fuels these systems is governed appropriately. Experts recommend organizations prioritize information governance, maintain the context of enterprise data, and leverage trusted AI to maximize the value of their data assets.
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