Malia

The Machine Kingdom

Malia
Safety

Deterministic layer
Proposed architecture

INSTINCT proposes.
AXIOM decides.

Learned autonomy proposes actions. A deterministic verification layer decides whether each one is inside the authorized envelope — before the machine moves.

(01) — Position in MALIA OS

AXIOM is the lowest layer of the shared architecture — the one every learned layer above it must answer to. Nothing acts without passing through it.

  1. L1INSTINCTPerception, navigation, reasoning, planning and learning
  2. L2PHYSIS + ORACLEShared physical state, sensor fusion and uncertainty
  3. L3LEXICONCommunication across different intelligent machines
  4. L4COLONYCoordination, task allocation and fleet management
  5. L5AXIOMAuthorization, safety checks and intervention controls

(02) — The flow

Every action,
audited.

From sensor to audit record, a proposal travels one path. AXIOM issues exactly three verdicts.

  1. 01SENSE
  2. 02INSTINCT
  3. 03PROPOSE
  4. 04AXIOM
  5. 05
    AUTHORIZEESCALATEDENY

    The only three verdicts. ESCALATE hands the decision to a human.

  6. 06ACT
  7. 07AUDIT

(03) — What AXIOM requires

The envelope,
made explicit.

Verification is only as strong as what it checks. Eight requirements define the authorized envelope for every mission.

(04) — Human authority

A person decides, always.

Autonomy operates inside authority that humans set and can revoke. That is structure, not policy.

(05) — Data governance

What machines know,
and who may know it.

  1. 01ProvenanceSensor data, models, configurations and versions carry lineage — what was collected, where, by which system, under which build.
  2. 02Role-based accessData and control authority follow the operator’s role. Access is granted per mission, per role, per need.
  3. 03RetentionMission-appropriate retention: data is kept as long as the mission and audit require — no longer by default.
  4. 04SeparationCustomer, synthetic, licensed and telemetry data are held apart and governed by their own rules.
  5. 05Risk managementAligned in spirit with the NIST AI Risk Management Framework’s emphasis on measurement and ongoing risk management.

(06) — Export posture

ITAR and EAR classification is built into the product architecture from the start — designed in, not retrofitted after the fact.

MALIA makes no claim that any system, model or dataset is exportable worldwide. Classification, licensing and transfer review are part of the engineering process, treated with the same rigor as the safety envelope itself.

(07) — A note on status

AXIOM is a proposed verification and governance architecture — the requirements MALIA designs toward, not a certified system. No MALIA machine is fielded, sold or deployed.

The research AXIOM is built to govern — The Laboratories →