Clear status. Honest limits. Useful outcomes.
This site presents public-safe descriptions of ScubaRC research. Sensitive code, implementation details, proprietary intellectual property, and tradecraft remain offline.
Responsible AI & Human-Machine Systems
Research on secure AI adoption, model evaluation, governance, analyst augmentation, retrieval workflows, operational guardrails, and accountable automation.
Cognitive Security & Information Integrity
Defensive study of influence operations, narrative manipulation, synthetic personas, credibility laundering, AI-amplified persuasion, and decision-layer resilience.
Quantum & Advanced Sensing
Public-safe research into inspection, magnetometry, signal extraction, anomaly visualization, and forensic traceability.
OSINT, Early Warning & Public Safety
Responsible methods for identifying weak signals, anomalies, coordinated activity, and emerging risk in public data while protecting sources, users, and civil liberties.
Public research is descriptive, not performative.
We distinguish proposed work from completed work, prototypes from products, and hypotheses from validated findings. Public materials describe problems, principles, methods, and results at a level appropriate for responsible review.