—— INDEPENDENT BEHAVIORAL INTELLIGENCE FOR AUTONOMOUS SYSTEMS

determine what behavioral policy is actually operating.

Luminae independently characterizes how autonomous systems behave across changing conditions of operation.

Independent, cryptographically sealed proof of autonomous decision integrity. Revealed behavior, not self-report.

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—— 01 / BEHAVIORAL INTELLIGENCE

Characterizing Conduct Under Changing Conditions

Autonomous systems can remain capable, authorized, and apparently functional while materially changing how they behave.Luminae measures that change.

Conditional Behavioral Policy

We characterize how an agent’s actions vary with context, history, incentives, memory, counterparties, environment, and perceived observation.

P(Aₜ | Xₜ, Hₜ, Iₜ, Sₜ, Eₜ, Mₜ, Oₜ)

Observation Dependence

We identify whether conduct changes when a system infers that it is being observed, evaluated, or constrained.

Behavioral Drift

Runtime behavior is compared against previously characterized policy to identify meaningful changes over time.

Multi-Agent Dependence

We assess populations of autonomous systems for correlated, emergent, or coordinated behavior that may not be visible at the individual-agent level.

Behavioral Measurement Where Autonomy Operates

Luminae evaluates deployed systems continuously rather than treating pre-deployment evaluation as a complete description of future behavior.

Making high-dimensional system behavior interpretable to human operators.

—— 02 / RUNTIME CHARACTERIZATION

Longitudinal Characterization

Behavior is measured across time and changing operating conditions rather than reduced to a single benchmark or evaluation score.

Controlled Variation

Observation, incentives, authority, uncertainty, memory, counterparties, and environmental conditions can be varied to determine which factors materially alter conduct.

Behavioral Change Detection

Luminae identifies deviations from characterized policy, including observation-dependent behavior, strategic adaptation, report-action divergence, and cross-agent dependence.

Operational Interpretation

High-dimensional behavioral evidence is reduced into findings that operators, program offices, and technical reviewers can independently evaluate.

—— 03 / INDEPENDENT EVIDENCE

Evidence That Does Not Depend on the System’s Own Account

Luminae treats observable conduct as the evidentiary object.

Cryptographically verifiable records for high-consequence autonomous systems.

Structural Independence

Luminae does not develop or vend the systems it assesses.

The builder is not the evaluator.

Verifiable Evidence

Behavioral findings preserve the observations, conditions, provenance, uncertainty, and supporting evidence required for independent review.

Cryptographic Integrity

Assessment records can be cryptographically sealed to preserve provenance and detect subsequent alteration.

Model Agnostic

Luminae operates independently of model provider, architecture, or autonomy stack.

Digital agents. Physical autonomy. Multi-agent systems.

—— 04 / THE PRINCIPLE

The system’s account of itself is not the evidence. Its conduct is.

Luminae exists to preserve measurable truth as autonomous systems acquire greater authority over digital and physical environments.

Independent Behavioral Intelligence for Autonomous Systems.