Secret Isolation for Autonomous Agents: Schema-Level Separation for Least-Privilege Configuration Access

This document presents a security architecture pattern for autonomous AI agents in federal environments that separates configuration schema from secret values, enabling agents to maintain full situational awareness of configuration requirements without accessing credential data.

This paper presents a detailed examination of the challenges and solutions addressed by Secret Isolation, providing actionable frameworks for organizations navigating the intersection of AI adoption and regulatory compliance.

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• Establishes a structured approach to secret isolation that aligns technical implementation with federal compliance requirements.
• Demonstrates how Secret Isolation concepts translate directly into measurable engineering controls and audit artifacts.
• Provides implementation patterns validated against real-world deployment constraints in regulated environments.
• Identifies critical gaps in current approaches and proposes concrete architectural solutions backed by operational evidence.