AIM Intelligence

AIM Intelligence is an artificial intelligence security company that develops solutions to detect and defend against risks in AI systems. The company was founded in early 2024 by CEO Sang-yoon Yoo and a team from Seoul National University's Electrical and Information Engineering program to address security limitations in the use of generative AI. The company's name signifies a dual meaning of 'AI' and 'to target', reflecting its mission to precisely identify and eliminate AI vulnerabilities.

AIM Intelligence offers a suite of products designed to test, monitor, and protect AI models and services. Its core offerings include "AIM Red," "AIM Guard," and "AIM Supervisor." "AIM Red" is an automated red-teaming tool that generates and executes thousands of attack scenarios to discover vulnerabilities in AI systems. "AIM Guard" acts as a defensive shield, providing real-time filtering of malicious inputs and inappropriate outputs to prevent security breaches and data leakage. "AIM Supervisor" is an integrated management solution that combines the features of Red and Guard, offering real-time monitoring and control over AI agent behavior.

The company serves clients in high-stakes sectors such as finance, healthcare, robotics, and telecommunications. It has collaborated with major Korean companies including KB Kookmin Card, Woori Bank, LG Uplus, KT, and SKT. AIM Intelligence has received recognition for its technology, winning Meta's Llama Impact Innovation Award and being selected for Anthropic's private bug bounty program, where it identified security flaws in Claude models. The company has secured seed and Pre-A funding from investors including Mashup Ventures, Mirae Asset Capital, Bluepoint Partners, and Z Venture Capital.

Keywords: AI security, generative AI, vulnerability detection, red teaming, AI safety, large language models, penetration testing, adversarial attacks, AI risk management, data leakage prevention, AI alignment, prompt injection, AI guardrails, model security, autonomous systems security, policy enforcement, cybersecurity, deepfake detection, information security, financial AI security