BigID and Atlan have announced an enhanced integration that brings together data security and governance into a single, unified control plane designed for modern AI environments. This collaboration introduces what the companies describe as the first combined solution capable of unifying structured and unstructured data discovery, classification, lineage, and cataloging in one integrated platform. As organizations accelerate their adoption of artificial intelligence and data-driven decision-making, the partnership aims to provide the visibility, governance, and security controls needed to manage complex enterprise data ecosystems.
Modern AI initiatives rely heavily on large volumes of data, often drawn from both structured databases and unstructured sources such as documents, emails, and media files. However, many organizations lack a clear understanding of where sensitive data resides and how it flows across analytics and AI pipelines. Consequently, security and governance leaders face increasing pressure to mitigate risks, maintain regulatory compliance, and prevent the misuse of sensitive information. By integrating BigID’s data security capabilities with Atlan’s modern data catalog, the two companies aim to close this critical visibility gap.
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Through the integration, organizations gain automated discovery and classification across all data types, allowing security and governance teams to identify sensitive information more effectively. Additionally, the platform embeds real-time policy signals directly into the data catalog environment, enabling teams to apply governance rules and security controls where data is actively used. As a result, enterprises can maintain stronger oversight of their data while enabling collaboration across departments.
Another key benefit of the integration is improved alignment between Chief Data Officers (CDOs) and Chief Information Security Officers (CISOs). Traditionally, these teams have operated with different tools and priorities, often leading to fragmented governance strategies. However, the unified platform creates a shared operational view of the organization’s entire data estate. This allows both security and governance leaders to collaborate more effectively while supporting responsible AI innovation.
AI adoption continues to grow rapidly across industries, but without a unified view of enterprise data, organizations risk introducing vulnerabilities, compliance challenges, and shadow AI projects. Business teams frequently deploy AI tools quickly to accelerate innovation, while governance teams struggle to maintain visibility and enforce policies. Therefore, the combined BigID and Atlan platform embeds security intelligence directly into the data catalog, ensuring that governance controls remain tightly integrated with data workflows.
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“Every successful AI initiative starts with context. Atlan is the context layer for data and AI the place where technical metadata, business meaning, and governance all come together. By bringing BigID’s DSPM risk signals directly into that context layer, we give our joint customers a single view of where sensitive data lives, how it flows, and which analytics and AI experiences depend on it and then automate the right guardrails at scale. Together, we’re helping enterprises move faster on AI with the confidence that their data is understood, governed, and trusted end to end.” Marc Seifert, Head of Global Alliances, Atlan
The enhanced integration introduces several new capabilities. These include automated discovery and classification of both structured and unstructured data using BigID’s advanced data intelligence tools. The system also enables seamless ingestion of classification tags and policy alerts into Atlan’s data catalog, allowing users to view and manage sensitive data insights directly within their existing workflows. Furthermore, sensitive data context is propagated across end-to-end data lineage, giving organizations full visibility into how data moves through analytics pipelines and AI models.
Security and governance teams also gain unified visibility across their entire data estate. At the same time, business users and AI stakeholders receive advanced policy intelligence embedded within the catalog experience. This enables teams to make smarter, risk-aware decisions when building analytics or deploying AI models.
“AI innovation depends on trusted data,” said Ian Williamson, SVP, Alliances at BigID. “By embedding BigID’s deep data discovery and classification capabilities directly into Atlan’s modern catalog, we’re giving organizations the unified visibility and control they need to protect sensitive data while accelerating AI initiatives. Together, we’re enabling security and governance teams to move from friction to alignment – and from experimentation to production.”
Overall, the collaboration between BigID and Atlan reflects a broader industry shift toward integrated data governance frameworks that support both security and innovation. As enterprises continue scaling AI adoption, solutions that unify data discovery, classification, governance, and security will become essential infrastructure for building trusted, compliant, and AI-ready data ecosystems.
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