1. The Client's Situation
In establishing a plan to build an AI-based incident-response system in order to participate in a public-institution proposal project, the client needed to check compliance with the Personal Information Protection Act and the latest legal regimes related to artificial intelligence. In particular, because it had to use datasets that could include sensitive information such as large-scale logs, report materials, and malware data, minimizing legal risk on the fronts of personal-data processing and security management was the key task.
2. Your Legal Team's Advice
Your Legal Team reviewed the personal-data pseudonymization, de-identification procedures, and data-storage management measures reflected in the proposal, and confirmed compliance with Article 28-4 of the Personal Information Protection Act and the Pseudonymized Data Processing Guidelines. The team also reviewed whether managerial measures such as security pledges by the project's participating personnel, data-deletion procedures, and security training conformed to the legal duty to take safety measures. In addition, it pointed out the possible applicability of the Framework Act on Artificial Intelligence, scheduled to take effect in 2026, and the need for continuous monitoring in line with future legal changes, and proposed measures to supplement the internal management system.
3. Result
Reflecting Your Legal Team's review opinions, the client faithfully incorporated the latest statutory requirements into its proposal, and came to have a system that can prevent legal risks in the course of carrying out the project. Through this, it was able to obtain practical help in strengthening the competitiveness of the proposed project while at the same time securing credibility in future public-institution evaluations.