💠Ecosystem, Governance, Privacy, and Compliance

IMMT is not designed as a closed assistant or a single-use agent. It is architected as a long-lived platform that supports extensibility, third-party contribution, and jurisdiction-aware deployment while preserving safety, user control, and accountability.

Ecosystem and Extensibility

IMMT supports a modular ecosystem of composable skills, tools, and workflows that can be developed internally or by third parties.

Skill Architecture

Each skill is packaged with:

• A permission manifest defining:

  • Required data access

  • Allowed actions

  • Execution scope and limits

• A declared risk profile (low, medium, high impact)

• Explicit dependencies and constraints

Skills cannot exceed the permissions granted to them and are sandboxed from one another.

Verification and Trust Grades

Skills are assigned verification grades that communicate trust and risk levels to both the system and the Owner:

• Unverified (experimental)

• Verified (audited or reviewed)

• Restricted (limited execution scope)

• Trusted (core or first-party skills)

Verification grades influence:

• Default execution permissions

• Approval requirements

• Autonomy eligibility

Secure Distribution

All skills and extensions are:

• Cryptographically signed

• Versioned

• Integrity-checked before execution

Unsigned or tampered skills are blocked at load time, preventing supply-chain attacks or unauthorized modification.

Developer SDK

IMMT exposes a controlled SDK that enables innovation without compromising safety.

SDK components include:

• Tool APIs: standardized interfaces for action execution

• Policy APIs: declarative permission and constraint definitions

• Event Log APIs: structured access to audit and observability data

The SDK enforces policy constraints at runtime; developers cannot bypass safety mechanisms through custom code.

Governance Principles

Governance in IMMT is embedded at both system and ecosystem levels, ensuring predictable and accountable behavior.

Default-Safe

IMMT initializes with conservative settings:

• Minimal permissions

• Suggestion-only mode

• Limited memory retention

• No execution authority

This prevents accidental overreach during onboarding or experimentation.

Progressive Trust

Capabilities expand gradually based on:

• Explicit Owner consent

• Demonstrated system reliability

• Stable historical behavior

• Successful policy compliance

Trust is earned through performance and can be revoked instantly.

Policy-First Execution

Policies are authoritative. If a model output conflicts with a policy:

• The policy wins

• The action is blocked or downgraded

• The conflict is logged for review

This ensures that intelligence never overrides governance.

Human-in-the-Loop

For high-risk domains—such as finance, data sharing, or irreversible actions—IMMT enforces:

• Explicit approvals

• Confirmation prompts

• Multi-step validation

Human oversight remains mandatory where errors carry significant consequences.

10.3 Privacy Architecture

IMMT treats privacy as a system-level invariant, not a configuration afterthought.

Data Minimization

• Only data required for a declared purpose is collected

• Unused data is not retained

• Cross-domain data sharing is restricted by default

Purpose Limitation

Each data element is tagged with:

• Purpose of collection

• Allowed usage contexts

• Retention duration

Data cannot be repurposed without explicit authorization.

Security Controls

• Strong encryption for sensitive domains (finance, health, identity)

• Encrypted storage and transport

• Contextual access control per subsystem

Retention and Deletion

Owners define:

• Retention scopes per data category

• Time-to-live (TTL) policies

• Redaction and deletion rules

Deletion is guaranteed and enforced across all memory layers, including backups where technically feasible.

Regulatory and Responsibility Boundaries

IMMT is designed to operate across jurisdictions with differing legal and regulatory requirements.

Adaptive Compliance Strategy

IMMT anticipates regulatory variation by supporting:

• Staged feature releases aligned with legal readiness

• Geographic restrictions on specific capabilities

• Feature-based gating (e.g., disabling economic modules in restricted regions)

Partnership and Licensing Model

Where required, IMMT supports:

• Integration with licensed partners

• Delegation of regulated activities

• Jurisdiction-specific deployment configurations

IMMT does not attempt to bypass regulatory frameworks; it adapts to them.

Responsibility Delineation

Clear boundaries are maintained between:

• Owner decisions

• IMMT assistance

• Third-party tool execution

This separation ensures accountability and reduces ambiguity in responsibility attribution.

Ecosystem Posture Summary

IMMT assumes that:

• Platforms must outlive individual models

• Extensibility must not compromise safety

• Privacy must be enforceable, not optional

• Compliance must be adaptive, not reactive

Accordingly, IMMT’s ecosystem and governance architecture prioritizes control, transparency, and jurisdictional resilience while enabling long-term innovation.