Category: Governance & Enforcement
Subcategory: Identity
Module: Identity Integrity
Type: Identity Module

Standard: OBIDENITY™ — Origin-Bound Identity Standard
Version: 1.0
Status: Canonical · Open Standard
Effective Date: 19 March 2026

Authority: OOF™ Origin Open Foundation™
Founder & System Design Architect: Miroslav Pis
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL™)

Canonical Definition

Identity Integrity defines the structural conditions under which an identity remains
protected against replication, impersonation, unauthorized modification, or structural
compromise.

Integrity exists only when identity cannot be altered, duplicated, or simulated
without detection.

Why This Matters

Even when identity has a valid origin and continuity, it can still be compromised.

Without identity integrity:

• identity may be cloned or duplicated
• identity may be impersonated
• identity attributes may be altered
• unauthorized actions may go undetected

This creates systems where identity exists but cannot be trusted.

Identity Integrity ensures that identity remains authentic and resistant to
manipulation.

Minimum Implementation Framework (MIF)

Step 1 — Prevent Identity Replication

Identity must not be duplicable.

Minimum requirement:

• no creation of identical identity anchors
• no reuse of identity structure
• no parallel identity copies

Step 2 — Detect Unauthorized Modification

Changes to identity must be controlled and detectable.

Minimum requirement:

• no silent modification
• traceable identity changes
• detection of unauthorized updates

Step 3 — Protect Against Impersonation

Identity must not be usable by unauthorized actors.

Minimum requirement:

• verifiable control linkage
• no anonymous identity usage
• no identity simulation without detection

Step 4 — Maintain Structural Integrity

Identity structure must remain intact across its lifecycle.

Minimum requirement:

• no hidden structural changes
• no corruption of identity data
• preservation of identity consistency

Use Case 1 — Protection Against Identity Cloning

Scenario
An identity is copied or recreated to impersonate a real entity.

Application
Identity Integrity ensures that any duplication or unauthorized replication is
detectable.

Result

• prevention of identity cloning
• detection of duplicate identities
• preservation of identity authenticity

Use Case 2 — Secure AI Identity Representation

Scenario
AI systems represent individuals, organizations, or agents in communication and
decision-making.

Application
Identity Integrity ensures that only authorized representations are linked to the
identity and that impersonation is detectable.

Result

• trusted AI identity representation
• prevention of unauthorized impersonation
• secure interaction with identity-based systems

Structural Principle

An identity that can be copied or altered without detection cannot be trusted.

Closing Statement

Integrity protects identity from becoming imitation.

→ OBIDENITY™ Standard