arXiv:2606.11632v1 Announce Type: cross Abstract: Agentic infrastructure introduces a critical control-plane authorization problem: non-deterministic reasoning systems can propose high-stakes mutations to production resources, yet existing security mechanisms -- such as identity and access management (IAM), policy engines, consensus protocols, and audit logs -- either enforce static, context-unaware permissions or merely record actions post-execution. This paper introduces the Sovereign Assurance Boundary (SAB), a certificate-bound runtime admission layer for autonomous execution authority. SA
The proliferation of advanced AI agents highlights the immediate and critical need for robust security and authorization mechanisms that can handle non-deterministic system behavior.
This paper addresses a fundamental security vulnerability in autonomous AI systems, which is crucial for their responsible deployment in high-stakes environments.
A new architectural layer, the Sovereign Assurance Boundary, is introduced to provide a certificate-bound runtime admission for AI agent actions, moving beyond static permissions.
- · AI infrastructure providers
- · Cybersecurity firms
- · Enterprises deploying AI agents
- · Systems relying solely on legacy IAM
- · Attackers targeting AI control planes
More secure and auditable deployment of autonomous AI agents becomes possible.
Increased trust in AI's ability to operate in critical infrastructure and sensitive data environments, accelerating adoption.
New regulatory frameworks may emerge, mandating similar 'assurance boundaries' for AI systems, creating a new standard for AI safety and control.
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Read at arXiv cs.AI