Draft:Intent-Bound Authorization
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Intent-Bound Authorization
| Intent-Bound Authorization (IBA) | |
|---|---|
| Developer | Grokipaedia Research |
| Initial release | January 15, 2026 |
| Written in | Python |
| Type | Authorization, AI safety |
| License | Open-source license |
| Website | www |
Submission declined on 7 February 2026 by Pythoncoder (talk).
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Intent-Bound Authorization (IBA) is a cryptographic authorization framework designed to govern the behavior of autonomous AI agents. It introduces a "semantic layer" to access control, shifting the security boundary from identity (who is acting) to intent (why they are acting). Unlike traditional Role-based access control (RBAC) or OAuth, IBA requires every system action to be cryptographically bound to a specific, pre-declared human objective.[1]
The framework was introduced in early 2026 by Grokipaedia Research to address the "autonomy-security gap" in agentic workflows—specifically the risk that a legitimate agent may deviate from a user's instructions during the process of goal decomposition.[2]
Architecture
The IBA architecture is structured into four functional layers designed to provide a "fail-secure" environment for AI execution:[3]
Intent Declaration: The authorizing human user generates a task specification (Intent Object) containing specific scope, constraints, and expiration, secured via Ed25519 digital signatures.
Cryptographic Binding: The intent is mathematically linked to session credentials. This process often utilizes zero-knowledge proofs (ZKP) to ensure that the agent's authority is validated without exposing the user's master keys.
Runtime Validation: A semantic validation engine continuously monitors the agent's proposed tool-calls or API requests against the signed Intent Object.
Automatic Revocation: Authority is immediately rescinded if the agent's plan deviates from the original intent, or automatically upon completion of the task.
== Technical Performance == Initial technical specifications for the IBA reference implementation report the following benchmarks:
Latency: Validation overhead is typically recorded at under 5 milliseconds, intended for high-frequency financial or industrial applications.[4]
Drift Detection: Early testing demonstrates an effectiveness rate above 95% in identifying unauthorized intent deviations in autonomous browser environments.
== Proof of Concept == In January 2026, a proof-of-concept titled the Single-Cell IBA Demo was released. The demonstration illustrates an agent authorized for "scheduling tasks" being autonomously blocked from accessing "medical records" after a semantic mismatch was detected by the IBA layer.[5]
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