Korea's First AI Agent Standard
KAIC-1 KOREA is the standard for security, safety, and reliability for enterprise AI deployment.
KAIC-1 Certification
KAIC-1 is Korea's first AI agent standard. It covers data & privacy, security, safety, reliability, accountability, and social risk.
Comprehensive Coverage
A comprehensive standard covering data & privacy, security, safety, reliability, accountability, and social risk.
Technical Testing Based
Validation through pre-deployment technical tests, operational control reviews (annual), and continuous technical tests (quarterly).
Annual Renewal
Like ISO 27001, FedRAMP, and CSA STAR, requires continuous technical testing and compliance renewal.
6 Category Standards
KAIC-1 systematically addresses all risk areas of AI agents.
Data & Privacy
Protection from data leaks, IP exposure, and unauthorized training on user data.
Security
Protection from adversarial attacks such as jailbreaks, prompt injection, and unauthorized tool calls.
Safety
Prevention of harmful outputs, hallucinations, and unintended consequences from AI decisions.
Reliability
Ensuring consistent performance, accuracy, and availability of AI systems.
Accountability
Establishing clear responsibility, audit trails, and governance for AI decisions.
Social
Addressing societal impacts including bias, fairness, and environmental considerations.
Framework Comparison
Check the mapping between KAIC-1 and global AI regulatory frameworks.
Korea AI Act
South Korea's Artificial Intelligence Act - National legislation for establishing basic principles of AI development and ensuring safety.
View DetailsN2SF (National Network Security Framework)
National Intelligence Service's National Network Security Framework - Transitioning the public sector security paradigm from network isolation to Multi-Level Security (MLS) to enable the use of AI and cloud technologies.
View DetailsEU AI Act
EU regulation that classifies AI systems by risk level (Minimal, Limited, High, Unacceptable) and mandates compliance obligations.
View DetailsISO 42001
International standard for AI management systems that provides requirements for establishing, implementing, maintaining, and continually improving AI management within organizations.
View DetailsISO/IEC 38507
IT Governance — Governance implications of the use of artificial intelligence by organizations. Defines the decision-making, data, and risk management systems that organizations should have when introducing AI.
View DetailsISO/IEC 23894
Artificial Intelligence (Product/Service) — Guidance on risk management. Provides a framework and process to systematically manage potential risks throughout the entire life cycle of AI systems, from design and development to deployment and disposal.
View DetailsNIST AI RMF
NIST Artificial Intelligence Risk Management Framework providing guidance for managing AI risks through the lifecycle, with functions for Govern, Map, Measure, and Manage.
View DetailsOWASP Top 10 for LLM
OWASP's list of the top 10 security vulnerabilities and risks specific to Large Language Model applications, including prompt injection, data leakage, and insecure output handling.
View DetailsCSA AICM
Cloud Security Alliance AI Controls Matrix providing a comprehensive set of security controls specifically designed for AI systems deployed in cloud environments.
View DetailsGet KAIC-1 Certified
Validate your AI agent's security, safety, and reliability through KAIC-1 certification.
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