This research reveals that Web AI agents are significantly more vulnerable to security threats than standalone LLMs, despite being built on the same foundational models.

• Web agents are exposed to broader attack surfaces through their web navigation capabilities
• Their increased flexibility creates new vulnerability vectors not present in standalone models
• The research identifies specific security gaps unique to web-connected AI agents
• Findings provide essential insights for building robust defense strategies

This work is critical for security professionals as organizations increasingly deploy AI with web access capabilities—understanding these vulnerabilities is essential before widespread adoption in sensitive applications.

Why Are Web AI Agents More Vulnerable Than Standalone LLMs? A Security Analysis