Continuous red-teaming is your only AI risk defense

AI models pose evolving cyber threats that are difficult to fully understand and combat. Continuous red-team testing is crucial as standard frameworks and guidelines are still in development. Techniques like retrieval augmented generation (RAG) can enhance AI models by incorporating business-specific data, but this increases the risk of data breaches. Traditional red teams are inadequate for probing AI models due to a shortage of experts skilled in prompt engineering. As CISOs confront these threats, they must understand the dark corners of AI risk management, where over 440 threats have been identified. Training in AI model operation is vital for cybersecurity teams to "think like an attacker." Regulatory bodies are responding with swift AI regulations, adding pressure on CIOs and CISOs to manage these new risks effectively amidst talent shortages and the intricate nature of AI security. This article was sourced, curated, and summarized by MindLab's AI Agents.

Original Source: CSO Online