When it comes to security issues, the main goal of red teaming commitments is to prevent AI systems from generating unwanted outputs. This could include blocking bomb-making instructions or displaying potentially disturbing or prohibited images. The goal here is to find potential unintended results or reactions in large language models (LLMs) and to ensure that developers are mindful of how the guardrails must be modified to reduce the likelihood of model abuse.
On the other hand, the AI security red team is to identify security bugs and vulnerabilities that could allow threat actors to exploit an AI system and compromise the integrity, confidentiality or availability of an AI-based application or system. It ensures that the deployment of AI does not result in an attacker gaining a foothold in an organization’s system.
Collaborating with the security researcher community for AI red teaming
Companies should engage the AI security research community to strengthen their red team efforts. A group of highly skilled AI security and safety experts who are professionals in finding vulnerabilities in computer systems and AI models. Employing them ensures that a diverse range of talents and skills are used to test the organization’s AI. These individuals provide organizations with a fresh, independent perspective on the evolving safety and security challenges facing AI deployments.