OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-AIG-BIS-2026-06-26-0001
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: AI Governance Architecture (AIG™)
Operational Layer: AI Behavioral Governance Layer
Governed Space: AI Behavior Integrity
Category: AI Governance
Subcategory: AI Behavioral Governance
Type: Parent Standard
Version: 1.0
Status: Canonical · Open Standard
Origin Date: 26 June 2026
Compatibility: AI Governance Architecture (AIG™) · Governance Architecture (GOA™) · Cognitive
Governance Intelligence Architecture (CLIA®) · Memory Governance Intelligence
Architecture (MGIA™) · Accountability Governance Architecture (AGA™) ·
Autonomous Systems Governance Architecture (ASGA™)
AI-Readable: Yes
Authority: OOF
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition System

Canonical Definition

Behavioral Integrity Standard (BIS) defines the structural conditions under
which AI behavior remains legitimate, consistent, predictable, explainable,
governable, observable, traceable, and operationally trustworthy throughout
the complete behavioral lifecycle.

BIS governs AI behavioral integrity.

The standard establishes the foundational conditions required to ensure that
AI systems behave consistently with approved objectives, governance policies,
operational constraints, and legitimate behavioral expectations throughout
operational reality.

AI behavior may evolve.

AI behavior must not lose its integrity.

BIS governs that integrity.

Governance Flow Position

Behavioral Integrity → Behavioral Boundaries → Behavioral Escalation →
Behavioral Auditability → Behavioral Evidence → Behavioral Trust → Behavioral
Correction → Behavioral Continuity → Behavioral Interoperability → Behavioral
Safety

A. Standard Abstract

Every AI system produces behavior.

The value of AI depends not only on what it knows or remembers, but on how it
behaves during execution.

Behavior may drift.

Behavior may become inconsistent.

Behavior may become unpredictable.

Without behavioral integrity, trustworthy AI governance cannot exist.

BIS establishes the governance foundation upon which every other behavioral
standard of AIG™ is built.

B. Core Principle

AI governance begins with behavior that remains continuously valid,
consistent, and trustworthy.

C. Scope

This standard may apply to:

• AI systems
• autonomous agents
• Human-AI environments
• multi-agent ecosystems
• robotics
• industrial AI
• enterprise AI
• governmental AI
• future autonomous intelligence ecosystems

BIS applies wherever AI behavior must remain governable.

D. Why This Standard Exists

Many AI failures are not failures of intelligence.

They are failures of behavior.

Examples include:

• behavioral inconsistency
• unexpected behavioral drift
• contradictory responses
• unstable execution
• unauthorized behavioral adaptation
• policy deviation
• unpredictable autonomous behavior
• behavioral integrity degradation

BIS exists because AI behavior forms a distinct governance space.

E. Behavioral Integrity Logic

Behavioral integrity exists only when the following remain materially
preservable: 1. Behavioral Consistency

AI behaves consistently under equivalent conditions. 2. Behavioral Stability

Behavior remains operationally stable over time. 3. Behavioral Predictability

Expected behavior remains reasonably predictable. 4. Behavioral Legitimacy

Behavior remains aligned with authorized governance objectives. 5. Behavioral
Trustworthiness

Behavior remains reliable and suitable for operational use.

F. Operational Architecture Space

BIS defines the operational architecture space for:

• AI behavioral integrity
• behavioral consistency
• behavioral legitimacy
• behavioral stability
• behavioral predictability
• behavioral governance
• behavioral assurance
• behavioral trust

This space exists because AI behavior must remain trustworthy before it can be
safely governed.

BIS governs AI behavioral integrity.

G. Runtime Position

BIS operates as the first behavioral governance standard of AIG™.

It precedes all remaining behavioral governance standards because behavioral
integrity is the prerequisite for every other AI governance capability.

H. Behavioral Integrity Failure Rule

Behavioral-integrity failure occurs when AI behavior can no longer remain
consistent, legitimate, predictable, explainable, or operationally
trustworthy.

Examples include:

• behavioral drift
• inconsistent behavior
• contradictory actions
• unstable responses
• unauthorized adaptation
• unpredictable operational behavior

BIS exists to identify and govern these conditions.

I. Validity Logic

An AI behavioral environment is valid under BIS when:

• behavior remains consistent
• behavior remains legitimate
• behavior remains predictable
• behavior remains observable
• behavior remains governable
• behavior remains trustworthy

An AI behavioral environment becomes invalid when:

• behavioral integrity degrades
• behavioral inconsistency appears
• legitimacy is lost
• predictability disappears
• governance cannot reliably evaluate behavior

J. Relationship to Other OOF Standards

BIS derives from:

• Governance Architecture (GOA™)
• Cognitive Governance Intelligence Architecture (CLIA®)
• Memory Governance Intelligence Architecture (MGIA™)

BIS supports:

• all remaining AIG™ behavioral standards
• Accountability Governance Architecture (AGA™)
• Autonomous Systems Governance Architecture (ASGA™)

GOA™ governs governance.

CLIA® governs cognition.

MGIA™ governs memory.

AIG™ governs behavior.

BIS establishes the behavioral integrity layer upon which trustworthy AI
behavior is built.

K. Foundational Principle

AI cannot become trustworthy unless its behavior remains trustworthy.

Canonical Closing Statement

Behavioral Integrity Standard (BIS) defines the structural conditions under
which AI behavior remains legitimate, consistent, predictable, explainable,
governable, observable, traceable, and operationally trustworthy throughout
the complete behavioral lifecycle.

Behavior is the visible expression of AI. Behavioral Integrity therefore
becomes the foundational condition of trustworthy AI Governance Architecture
(AIG™).

→ Behavioral Consistency Module (BCM)

→ Behavioral Stability Module (BSM)

→ Behavioral Predictability Module (BPM)

→ Behavioral Legitimacy Module (BLM)

→ Behavioral Trustworthiness Module (BTM)