Korea's IT Regulation Updates for 2025

Why Developers Should Care About Regulation

"Isn't regulation the legal team's job?" I thought so too. Then early this year, a request dropped to change how we handle personal data. New law. We had to modify data collection logic in an already-deployed service within 2 weeks. (The fact that rushing caused a production incident is something I'd rather not discuss.)

That's when I started paying attention to IT regulation. If I'd known in advance, we could've handled it calmly.

Personal Information Protection Act Amendment: Explaining Automated Decisions

The biggest change this year. When AI or algorithms make automated decisions, you must explain those decisions to users. "Why was this ad shown to me?" "Why was my loan denied?"

For developers, this means recommendation systems and automated screening must include "explainability features." Black-box models won't cut it anymore. Explainable AI (XAI) is now a legal requirement.

Our team uses simple collaborative filtering for product recommendations, and we had to add a "why this was recommended" text generation feature. Estimated effort: 2 weeks. Actual: 3.5 weeks. (Always multiply estimates by 1.5.)

Platform Fairness Act: No More Forced In-App Payments

The law requiring app stores to allow alternative payment systems. This regulates the 30% commission that Google and Apple have been charging.

For developers, payment systems just got more complicated. Previously, implementing one in-app payment method was enough. Now you may need to offer self-hosted payment as an option. Payment gateway integration, settlement systems, refund handling -- all built in-house. More freedom, but also more work.

In practice, most small apps will keep using in-app payments. Building a custom payment system could cost more than the commission savings. This law's benefits will primarily flow to large apps.

AI Basic Act: Regulatory Framework for High-Risk AI

South Korea's AI Basic Act passed through the National Assembly this year. It mandates pre-deployment impact assessments, transparency reporting, and post-deployment monitoring for high-risk AI (used in healthcare, finance, hiring, etc.).

But detailed enforcement rules aren't out yet. What exactly counts as "high-risk?" What format should "transparency reports" take? The law exists but concrete guidelines don't. Companies are confused.

My service includes AI recommendations, and I have no idea if it qualifies as "high-risk" or not. The legal team doesn't know either. (A law existing that nobody can interpret precisely is the worst situation.)

Cloud Security Certification: Mandatory for Public Sector

Providing cloud services to Korean government agencies now requires CSAP (Cloud Security Assurance Program) certification. This directly impacts developers. Security logging, access control, and data encryption requirements are quite specific.

My company is bidding on a government project, and meeting CSAP requirements is estimated at 2+ person-months of development. Not feature development -- security compliance work. Feels wasteful but unavoidable.

Beyond Whether Regulation Is Good or Bad

What I feel as a developer is that regulation increasingly influences technical decisions. When designing architecture, "regulatory adaptability" now sits alongside performance, scalability, and maintainability.

More regulations will come next year. The only option is to stay ahead. I learned the hard way this year that preparing 6 months in advance is 100 times better than panic-fixing in 2 weeks.