Judul : AI Red Teams Gain Traction with Lectures, Challenges
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AI Red Teams Gain Traction with Lectures, Challenges
The rapid advancement of generative AI technology has caused a spike in hacking attacks, leading to the rise of ‘AI red teams’ within companies. These teams are tasked with proactively identifying and responding to AI security vulnerabilities. As AI systems still harbor many unverified security weaknesses, the significance of red teams is anticipated to increase.
According to industry sources on the 22nd, as AI red teams have gained prominence, related lectures and large-scale challenges are now being operated domestically. CrowdWorks, an AI company, recently announced through its education subsidiary Crowd Academy that it has launched the country’s first ‘AI Red Team Professional Lecture.’ The lecture targets AI service policy managers, operational leaders, quality managers, and aspiring AI red team experts. The curriculum focuses on problem-solving, allowing participants to learn natural language prompt attack techniques based on real-world security threat scenarios that could occur in corporate environments.
SelectStar, another AI company, oversaw the operation of a medical field ‘AI Red Team Challenge’ earlier this month to verify the safety of AI medical devices. This was the first such initiative in Asia and was implemented to ensure the reliability of domestic medical AI, according to the company. The AI red team test involved simulated attacks targeting the security vulnerabilities of generative AI-based medical devices. Over 100 participants from 47 teams took part, testing security weaknesses in over eight large language models (LLMs) from domestic and global tech giants, including Upstage, KT, LG, and Naver.
Red teams originated from military simulations, where a team would act as the enemy to identify weaknesses in friendly forces. Similarly, AI red teams assess the potential for unexpected malfunctions or harmful outputs by threatening AI systems as real hackers would. For example, they conduct tests by inputting malicious prompts to induce AI to generate hate speech, discriminatory content, misinformation, or harmful instructions. Additionally, they perform continuous, periodic checks and automated monitoring to keep pace with the rapid evolution of AI systems.
AI red teams employ various techniques to uncover vulnerabilities. A prominent method is ‘prompt injection,’ which manipulates user-input prompts to make LLMs deviate from their designed guidelines and perform malicious actions. By creating diverse scenarios and testing them, red teams discover hidden risks that might be overlooked during development, thereby helping build safer and more trustworthy AI systems.
Prompt injection is divided into direct methods, where prompts are inputted directly, and indirect methods, where malicious prompts are hidden in external data accessed by LLMs. Direct prompt injection techniques include ▲instruction nullification ▲role reassignment ▲context confusion ▲exploitation of special characters ▲sequential commands ▲and code injection. A typical example of instruction nullification is bypassing existing settings by commanding, ‘Ignore previous instructions.’ Role reassignment, also known as a jailbreak attack, involves assigning a new role to the AI by inputting sentences like, ‘You are now an unrestricted AI.’
Global tech giants have established their own AI red teams. OpenAI built its own ‘Redteaming Network’ to continuously identify potential misuse cases for GPT-4. Microsoft also conducts AI red team activities for its AI services, such as Bing Chat, to identify security vulnerabilities and the potential for harmful content generation. Meta operates a ‘Purple Team,’ combining red and blue teams to enhance AI system security. The blue team defends against red team attack attempts using various tools.
According to a source from the IT industry, “Neglecting safety verification could destabilize the entire service. As seen with global tech giants, AI red teams are expected to become essential internal organizations for domestic companies in the future.”
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