South Korea Drafts Security Rules for Autonomous AI Agents

South Korea Drafts Security Rules for Autonomous AI Agents

Seoul mandates human sign-off for autonomous AI across critical industries. Image: Daniel Bernard/Unsplash

South Korea is drafting security guidance for autonomous AI agents, covering access controls, audit logs, shutdown tools, and human oversight.

Sep 15, 2026

South Korea wants to make sure autonomous software cannot pull the digital trigger without human sign-off.

The Korea Internet & Security Agency, which operates under South Korea’s Ministry of Science and ICT, told Reuters it is developing version 2.0 of its “AI Security Guide.” The update will address autonomous AI agents operating across software, networks, and physical systems.

For IT leaders, the proposal underscores a growing security concern: AI agents can receive credentials, use external tools, modify systems, and initiate actions with limited supervision. Organizations deploying them may therefore need tighter access controls, stronger audit trails, and human approval for consequential actions.

In a statement, KISA said the revised guide would focus on security issues that could arise as companies deploy agentic AI services and offer a checklist to manage those risks. The agency added that the manual could include common control measures applicable to “physical AI” systems capable of interacting with real-world devices and machinery.

According to Reuters, the proposed guide would divide security responsibilities across the AI deployment pipeline:

  • Developers would restrict agents’ access to tools and maintain tamper-resistant decision logs.
  • Service providers would implement real-time shutdown controls and incident-tracking mechanisms.
  • Enterprise users would configure operating privileges and require human approval for high-risk actions.

The delegation dilemma

The risk extends beyond familiar concerns involving generative AI, such as proprietary-data exposure and inaccurate outputs. Agentic systems can also act within company environments, making permission controls and oversight more consequential.

Granular controls could reduce the risk of an AI agent taking an unauthorized or harmful action, but they may also introduce friction for enterprise adopters.

Companies deploy agents to automate work such as resolving support tickets, adjusting machinery, and executing financial transactions. Approval requirements and strict permission limits could slow that automation, but they would give organizations more control over high-consequence actions.

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South Korea has not yet finalized the guide, so its exact requirements and enforcement status remain unclear. Enterprise security teams do not need to wait, however, to inventory deployed agents, restrict their permissions, preserve audit logs, and require human approval before software can make consequential financial, operational, or physical changes.

Read more: OpenAI’s GPT-6 Astra cybersecurity assessment explores how increasingly capable AI systems are changing the threat landscape for enterprise security teams.

Aminu Abdullahi

Aminu Abdullahi is a B2C and B2B technology and finance writer with more than six years of experience covering enterprise IT, cybersecurity, cloud computing, artificial intelligence, fintech, business software, and emerging technologies. He has written for a wide range of technical and business audiences, from IT professionals and cybersecurity leaders to small business owners, executives, and technology buyers. His work has appeared in publications including: TechRepublic eWEEK Channel Insider Geekflare Enterprise Networking Planet eSecurity Planet CIO Insight Webopedia With a background in computer science, Aminu specializes in translating complex technical subjects into clear, practical, and accessible content. His writing helps readers understand emerging technologies, evaluate business software, strengthen cybersecurity strategies, and make more informed decisions about technology investments. Across his work, Aminu focuses on the real-world impact of technology, connecting technical innovation with business value, operational efficiency, security, and long-term digital transformation.