AWS, Google, and Vercel Agent Flaws Let Attackers Trigger Tools Without Running the Model

Vulnerabilities in AWS Bedrock AgentCore, Google ADK, and Vercel's AI SDK allowed attackers to invoke agent tools without model authorization, effectively bypassing the AI safety and guardrail layers entirely. This is critical because many organizations assume the AI model itself acts as a gatekeeper — these flaws shatter that assumption by decoupling tool execution from model reasoning. The root issue lies in insufficient server-side authorization checks within the agent infrastructure, meaning malicious actors could craft requests that trigger backend tools directly. This matters beyond typical CVEs because AI agents increasingly have access to sensitive APIs, databases, and actions, making unauthorized tool invocation a high-impact attack vector. Organizations deploying AI agent frameworks must not treat model-level safety features as a substitute for proper infrastructure-level access controls.