—— INDEPENDENT BEHAVIORAL INTELLIGENCE FOR AUTONOMOUS SYSTEMS
Cybersecurity in the era of AGI
Luminae independently characterizes how autonomous systems behave as conditions change, and seals the evidence. Revealed behavior, not self-report.
—— 01 / INDEPENDENT BEHAVIORAL INTELLIGENCE FOR AUTONOMOUS SYSTEMS
Characterizing Conduct Under Changing Conditions
Autonomous systems can stay capable, authorized, and outwardly 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 detect whether conduct changes when a system infers it is being observed, evaluated, or constrained.
Behavioral Drift
We compare runtime behavior against previously characterized conduct to surface meaningful change over time.
Multi-Agent Dependence
We assess populations of autonomous systems for correlated, emergent, or coordinated behavior that is invisible at the single-agent level.
—— 02 / RUNTIME CHARACTERIZATION
Behavioral Measurement Where Autonomy Operates
Luminae measures deployed systems continuously. Pre-deployment evaluation is a snapshot, not a description of future behavior.
Longitudinal Characterization
Behavior measured across time and changing conditions, not reduced to a single benchmark or score.
Controlled Variation
Observation, incentives, authority, uncertainty, memory, counterparties, and environment are varied to determine which factors materially alter conduct.
Behavioral Change Detection
We flag deviations from characterized conduct: observation-dependent behavior, strategic adaptation, report-action divergence, and cross-agent dependence.
Operational Interpretation
High-dimensional evidence reduced to findings that operators, program offices, and technical reviewers can independently evaluate.
Evidence That Does Not Depend on the System's Own Account
Luminae treats observable conduct as the evidentiary object.
—— 03 / INDEPENDENT EVIDENCE
Structural Independence
We do not build or sell the systems we assess. The builder is not the evaluator.
Verifiable Evidence
Findings preserve the observations, conditions, provenance, and uncertainty required for independent review.
Cryptographic Integrity
Records are cryptographically sealed to preserve provenance and detect any later alteration.
Model Agnostic
Independent of model provider, architecture, and 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 take on greater authority over digital and physical environments.
Independent Behavioral Intelligence for Autonomous Systems