Sovereign Assurance Boundary: Certificate-Bound Admission for Agentic Infrastructure

Researchers propose the Sovereign Assurance Boundary (SAB), a cryptographic runtime admission layer that controls autonomous agent execution in infrastructure systems. SAB intercepts agent proposals, binds them to cryptographic evidence and policy versions, and issues revocable certificates before execution—addressing critical security gaps where non-deterministic AI systems can mutate production resources without sufficient authorization controls.

The paper addresses a fundamental security challenge emerging as AI agents gain autonomous execution authority over critical infrastructure. Traditional security mechanisms like IAM and audit logs operate at static permission levels or record actions retroactively, leaving a dangerous gap when intelligent systems can propose high-stakes mutations to production environments. SAB introduces a certificate-bound runtime layer that intercepts agent decisions before execution, converting unvetted proposals into typed execution contracts verified against cryptographic evidence and policy snapshots.

This work reflects broader infrastructure evolution where humans increasingly delegate operational decisions to autonomous systems. Current enterprise architectures lack mechanisms to revoke execution authority mid-flight or enforce consequence-aware validation. The research community recognizes that audit trails and static permissions are insufficient when agents operate at system-critical decision points. SAB's approach—binding execution authority to cryptographic certificates with explicit revocation windows and drift detection—represents a practical middle ground between centralized control and delegated autonomy.

For the infrastructure and cloud security sectors, SAB demonstrates feasibility through a Go prototype tested on 2,500 admission attempts, validating that cryptographic verification gates can operate at runtime speeds. This matters to enterprises deploying AI agents for infrastructure automation, where execution errors cascade rapidly. The framework enables auditability by creating verifiable, replayable execution artifacts tied to specific policy versions and identity contexts.

Looking forward, watch whether SAB's airlock-broker pattern becomes standardized in infrastructure orchestration platforms. Adoption hinges on performance overhead at scale and integration complexity with existing IAM systems. The research sets precedent for treating autonomous execution as a cryptographic and compliance problem rather than purely an access control problem.

• →SAB introduces certificate-bound runtime gates that intercept AI agent proposals before execution, preventing direct infrastructure mutations
• →The system cryptographically binds execution authority to evidence digests, policy versions, and revocation epochs for verifiable auditability
• →Go prototype demonstrates feasibility across 2,500 test cases, showing cryptographic verification can operate at production runtime speeds
• →Architecture enables mid-flight revocation and drift detection, addressing gaps where traditional IAM and audit logs fail with autonomous systems
• →Framework transforms autonomous execution authority into revocable, replayable artifacts tied to specific execution identity and validity windows