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Major domestic HR (Human Resources) platforms are reinforcing their security frameworks in step with the AI era. As AI- and big-data-driven hiring and HR analytics spread, protecting data and personal information has emerged as a core source of platform competitiveness.
According to industry sources on the 3rd, HR platforms have been upgrading their security capabilities by introducing multi-layered protection measures. HR data has moved beyond simple personnel-administration records to become a strategic asset supporting core corporate decisions such as recruiting, talent acquisition and retention, organizational-culture diagnostics, and performance analysis.
An industry official emphasized, "As AI- and big-data-based HR analytics spread and cloud adoption accelerates, the scope of data usage and the risk of external exposure are growing together. Without security, data can become a potential risk rather than an asset."
Saramin has prioritized personal-information safety by technically excluding identifiable personal data from AI training when introducing new technologies. Sensitive information in resumes, portfolios, and similar materials is destroyed once its purpose has been fulfilled.
Jobplanet has adopted data de-identification and secure storage through a dedicated Vault server. Access to personal information passes through a staged approval process, and the least-privilege principle is applied to minimize user-data exposure during big-data use, including AI product development.
JobKorea has built a multi-layered protection framework—including re-identification risk assessment, access-privilege management, encryption, and log monitoring—as its AI service footprint expands. The company aims to exceed legal and international standards by reinforcing security management across external partners and providing training for personal-information handlers.
Wanted Lab treats personal-information de-identification as a baseline principle for AI training and data use. Human Consulting Group (HCG) regards HR data as "an asset to be leveraged strategically and safely," and has established a security framework that combines de-identification technology with enterprise-wide governance.
An industry insider commented, "As AI-driven HR analytics spreads, companies must address not only data management but also their security frameworks and ethical responsibilities. Improving awareness of data protection—along with securing talent and budget—will determine corporate trust and competitiveness."......(hereafter omitted.)