AI is creating a security problem most companies aren't staffed to handle, says an AI researcher (www.businessinsider.com)

Sander Schulhoff, an AI researcher known for his work on AI system vulnerabilities, has raised concerns about the inadequacies of current cybersecurity teams to tackle AI-related security issues. In a recent podcast, he emphasized that while traditional cybersecurity focuses on identifying and fixing bugs, AI systems often fail in intricate ways that cyber teams are unprepared for. "You can patch a bug, but you can't patch a brain," he noted, highlighting the disconnect between the operational understanding of AI and classical cybersecurity practices. This gap can lead to significant vulnerabilities, with potential for exploitation through language manipulation rather than direct software flaws. Schulhoff’s insights suggest a growing need for professionals with expertise in both AI and cybersecurity, particularly as the landscape evolves and AI security startups proliferate. He cautioned that many current solutions claiming to provide comprehensive protection are misleading, warning that the market for such "guardrails" might face a correction due to unrealistic promises. As organizations increasingly adopt AI technologies, the intersection of AI and traditional cybersecurity emerges as a critical area for future talent and innovation, underscoring the urgent need for robust frameworks to secure AI systems effectively.