Dubai, United Arab Emirates, 25 September 2026: Datadobi, a provider of unstructured data management software, today announced the general availability of Data Access Governance (DAG) within StorageMAP. The new capability gives organizations visibility into who has access to their unstructured data and whether that access aligns with corporate policy. It extends StorageMAP’s existing tools for discovering, aligning and acting on data held across fragmented storage environments.
As AI initiatives, cyber threats and growing data volumes place new demands on IT teams, many organizations lack a clear view of who can access their unstructured data, making it difficult to govern, protect or use effectively.
StorageMAP’s DAG capability gives administrators visibility into access permissions across multiple unstructured data environments. By showing who has access to which data, and whether that access aligns with business and security policy, it allows organizations to detect misaligned permissions, reduce cyber exposure and enforce governance at scale. Datadobi positions this visibility as the first stage of its data storage management services (DSMS) approach, which covers visibility, understanding, decision and execution.
The introduction of DAG extends StorageMAP’s existing capabilities across data discovery, classification, risk assessment, lifecycle management and AI data readiness. Together, these capabilities help organizations identify what data they have, align it with business value and risk requirements, and apply policy-driven action across their environments. The aim is to help organizations prepare unstructured data for AI initiatives, strengthen cyber resilience and reduce storage costs.
DAG, which was trialed by a number of beta customers, supports a range of enterprise use cases, from protecting sensitive data and reducing breach impact, to maintaining records compliance and managing risk through mergers, acquisitions and divestitures. Early access customers reported gaps in their understanding of which critical datasets were exposed and who could access them, often relying on manual investigation to respond to audits and security incidents.
Using DAG, these organizations were able to identify overexposed data and validate access controls to improve their security posture. For organizations investing in AI, it provides a governance foundation for the data those projects rely on. For those subject to data protection regulations such as GDPR, HIPAA or PCI DSS, it provides the visibility needed to demonstrate that access controls are in place, operating as intended and aligned with business policy.
“Unstructured data is at the center of every major enterprise challenge right now, including AI readiness, cyber resilience, cost management and regulatory compliance,” said Michael Jack, Co-founder and Chief Revenue Officer for Datadobi. “But organizations cannot address any of those challenges with data they cannot see or control. Data Access Governance gives teams the visibility to understand who has access to what, identify where risk exists, and take action to bring their unstructured data under control. It is an important step in helping organizations manage the risk and complexity of their unstructured data.”
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