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1. Executive Summary

As AI agents move from passive assistants to autonomous actors, the need for trust-first design has become urgent. Agents now perform tasks that impact real systems, sensitive data, and high-stakes decisions. Yet many are built with prompt logic alone—no boundaries, no traceability, no safeguards.

Dokugent provides a governance layer for building AI agents you can prove are safe. It lets developers design scoped, certified, and traceable execution plans, ensuring every agent behavior is grounded in a signed, testable contract.

Why It Matters

In systems like GitHub Copilot, prompt-based agents have already leaked private data due to scope ambiguity and unverified execution paths (see EchoLeak, 2025). These are not UI bugs—they’re systemic flaws in how agents are scoped and authorized.

Dokugent shifts trust left: from runtime guesswork to developer-signed plans, audited behavior, and cryptographically sealed contracts. It doesn’t just reduce risk. It saves time during development, simplifies security audits, and shortens QA cycles—lowering the total cost of building safe AI.

What Dokugent Enables

  • Scoped Plans: Declare what data, actions, and external resources an agent may use.
  • Simulated Execution: Run agents in a sandbox and inspect edge cases before shipping.
  • Cryptographic Signatures: Certify each plan and bind it to the agent author.
  • Runtime Verification: Enforce that no unscoped behaviors can be executed in production.

In short: Dokugent turns “agent vibes” into verifiable trust artifacts.