Why Agentic AI Demands a New Approach to Data Governance

Agentic AI, a rapidly evolving autonomous system capable of independent decision-making and learning, is projected to be incorporated into 33% of enterprise software applications by 2028. This shift presents significant data governance challenges distinct from those faced by traditional AI, necessitating a reevaluation of data security and privacy strategies. Agentic AI's ability to access and process data autonomously raises concerns about data access control, privacy, accountability, and regulatory compliance. Traditional governance models, designed for human-operated systems, may not be equipped to manage the complexities introduced by agentic AI, prompting the need for dynamic access control policies, enhanced transparency, and collaboration across disciplines. Privacy-preserving technologies like homomorphic encryption and federated learning are becoming essential to safeguarding sensitive data, while interdisciplinary efforts and cultural shifts toward responsible AI are crucial for effective governance. Duality Technologies offers solutions leveraging privacy-enhancing technologies to address these challenges, enabling organizations to deploy agentic AI securely and compliantly.

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