Data is increasingly viewed as both a valuable asset and a significant threat for organizations. The rise of generative AI and the proliferation of cloud services have led to an explosive increase in information volume, blurring the boundaries of data management. In this landscape, OpenText has proposed a data-centric security strategy focused on trust. During the OpenText Summit Korea 2025, the company unveiled CDD&RI, a next-generation Data Security Posture Management solution that automates real-time detection and classification of sensitive information while predicting risks.
The CDD&RI platform analyzes both structured and unstructured data across on-premises, cloud, and SaaS environments, supporting over 40 languages and various file formats. It enhances compliance efficiency by automatically verifying adherence to key regulations like GDPR. The tool integrates seamlessly with major cloud environments such as AWS, Microsoft Azure, and Google Cloud, enabling organizations to manage data silos from a unified interface. This comprehensive visibility empowers organizations to understand data locations and associated risks, facilitating robust data governance. Furthermore, CDD&RI also reduces storage costs by automatically eliminating unnecessary redundant data and minimizing exposure risks through real-time sensitivity detection. OpenText underscores that effective data-centric security lays the foundation for trust-based digital transformation, with AI as a critical enabler.
👉 Pročitaj original: CIO Magazine
