For safety issues, the primary focus of red team engagement is preventing AI systems from producing undesirable results. This could include blocking instructions for building a bomb or displaying potentially disturbing or prohibited images. The goal here is to find potential unintended results or responses in large language models (LLMs) and to ensure that developers are mindful of how to adjust guardrails to reduce the potential for abuse of the model.
On the other hand, red teaming for AI security is intended to identify flaws and security vulnerabilities that could allow threat actors to exploit AI systems and compromise the integrity, confidentiality, or availability of AI-based applications or systems. This ensures that AI deployments do not allow attackers to gain a foothold in an organization’s systems.
Collaborating with the security researcher community to form the AI ​​Red Team
To strengthen red teaming efforts, companies should engage with the AI ​​security researcher community. We are a group of highly experienced security and AI safety experts who specialize in finding weaknesses in computer systems and AI models. Hiring them will help you test your organization’s AI with the widest range of talent and skills. These individuals provide organizations with a fresh, independent perspective on the evolving safety and security challenges faced in AI deployments.
