Designing AI agents to resist prompt injection

This post explores how ChatGPT defends against prompt injection and social engineering in agent workflows.

• •Prompt injection attacks attempt to hijack AI agent behavior by embedding malicious instructions in external content
• •The defense strategy focuses on constraining risky actions that agents are permitted to take
• •Protecting sensitive data is a core principle in designing resilient agent workflows
• •Social engineering vectors are explicitly considered as threats in the agent security model

This summary was automatically generated by AI based on the original article and may not be fully accurate.