AI models face major security risks from poor protection

The use of AI models is rapidly increasing across various sectors, including business and public services. However, with this growth comes significant security risks. Many organizations are adopting private deployments of these models but often overlook critical security measures. Recent studies show that nearly 90% of private servers for AI models are exposed online without proper security. Common defenses like simple passwords are often insufficient, leaving systems vulnerable to attacks and data breaches. Key risks include the unsafe handling of sensitive data and potential threats to critical infrastructure. If attackers exploit vulnerabilities, they could disrupt services, lead to financial losses, and create safety hazards. Experts warn that many organizations still lack a strong understanding of AI security. There is a need for better training and awareness to ensure proper safeguards are in place. Necessary legal frameworks are also still developing to address issues arising from AI advancements. Government security agencies emphasize the importance of vigilance. All stakeholders, from developers to users, must enhance their security practices to protect against malicious exploitation of AI technology.