—— 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.
—— 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.

