Stop Your Legacy Infrastructure from Hijacking Your AI Agents

Organizations are rapidly deploying AI agents (software systems that can perform tasks automatically) without securing the legacy infrastructure they depend on, creating a major security gap. Attackers can bypass AI-specific security measures by exploiting old vulnerabilities in underlying systems like unpatched servers, misconfigured permissions (Active Directory access controls), and cached credentials (stored login information), giving them access to the data and resources the AI agents use. The article demonstrates how this happens through a real attack example involving an S3 bucket (cloud storage), Lambda functions (serverless computing services), and overly broad access permissions.