AI Agent Security: How Postman’s AI Engineer Is Built

Postman's AI Engineer emphasizes security through a multi-layered, architecture-driven approach designed to mitigate risks associated with autonomous coding agents, particularly focusing on prompt injection vulnerabilities. By treating every input as untrusted and restricting the agent's actions within defined trust boundaries, Postman ensures that even if malicious text is processed, it cannot lead to unauthorized actions. The system employs a defense-in-depth strategy, isolating each task in short-lived sandboxes to minimize impact and excluding credential theft by keeping credentials outside the agent's reach. The focus remains on continuous improvement, with new capabilities undergoing thorough security testing and threat model updates to adapt to evolving threats. Despite these measures, the challenge of indirect prompt injection persists across the industry, prompting ongoing refinement and investment in security practices to align with the expanding capability surface of the AI Engineer.

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