AI Security Risks: Companies Unprepared, Analysts Warn

Companies rapidly deploying AI tools are often unprepared for new security threats. Analysts say relying on fixing problems after an attack is no longer effective. Here's the thing: as businesses integrate AI, they face both internal and external risks. For example, sensitive information can accidentally leak to large language models or end up on public platforms like GitHub. Pete Shoard, chief of research for cybersecurity at Gartner, notes a significant risk is hard-coded secrets being uploaded through applications, creating a pathway for attackers. What's interesting is that this has led to a surge in demand for attack surface management tools. These tools help companies proactively identify and prevent potential attacks by assessing their systems. Erik Nost, a senior analyst at Forrester, points out that AI is enhancing these detection and response steps. The bottom line: many companies are rushing to adopt AI without adequate security planning, leaving them vulnerable. This shift means businesses need to actively seek out and fix vulnerabilities before they can be exploited.