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Secuvy Names EFRIKIA Technology as an Official Partner in South Korea

August 18, 2026 — ETNews reports that Efrikia Technology will bring Secuvy’s AI data governance platform to organizations across South Korea.

How Secuvy Works classification and tagging flow diagram

Efrikia Technology has signed an official partnership agreement with Secuvy to supply Secuvy’s AI data governance platform in South Korea, according to coverage published by ETNews.

Supporting AI data readiness in South Korea

The partnership gives organizations in South Korea a new path to discover, classify, and govern enterprise data before it enters AI pipelines. Secuvy helps teams identify which files are appropriate for a specific AI workload and provides file-level evidence of what was included or excluded.

ETNews highlighted the value of this approach for regulated industries and organizations that manage large volumes of unstructured data, including financial services, the public sector, manufacturing and physical AI, broadcasting and media, gaming, and healthcare.

Classification that adapts as data changes

Secuvy combines self-learning AI with contextual linkage to classify data by meaning and relationship, without depending only on predefined patterns or rules. This helps organizations keep classification current as files, formats, and business context change.

Secuvy is designed to work where data already lives. It does not require organizations to move or modify production files to apply governance, helping preserve data sovereignty while reducing unnecessary data movement and GPU consumption.

Extending an AI data platform ecosystem

Efrikia Technology is also an official Hammerspace partner in South Korea. ETNews noted that Secuvy and Hammerspace are part of an AI data platform ecosystem based on NVIDIA’s AI Data Platform reference architecture, bringing data governance together with data access and orchestration.

Through the new partnership, Efrikia Technology plans to expand its work beyond finance, manufacturing, physical AI, and the public sector into industries where sensitive and unstructured data are especially difficult to classify and govern at scale.

Source coverage

Read the original report from ETNews

The original article was published in Korean by ETNews on August 18, 2026.

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