Syntony AI Labs is an open research initiative developing evaluation frameworks and policy scholarship at the intersection of frontier AI safety, systemic risk, and global geopolitics.
Founded by Nathan Heath, Syntony AI Labs publishes open research on AI safety evaluation, governance, and emerging technology risk.
"The mechanisms of deterrence, multilateral coordination, and systemic risk are not new. What is new is the technology."
I develop open evaluation methodologies, assessment frameworks, and translational research designed to explore the policy and governance implications of advanced AI systems across technical, institutional, and geopolitical contexts. My research is informed by hands-on adversarial evaluation of frontier systems and published openly at peer-review standards.
Most safety research stays inside the technical community. Most governance work proceeds without it. Through Syntony AI Labs, I work at the boundary — producing research that is methodologically rigorous and institutionally legible, bridging my background in classical geopolitics with the complex threat models of frontier AI.
In 1897, early radio pioneers faced a critical problem: transmitters were drowning each other out in a chaotic airspace. The solution, patented by physicist Oliver Lodge, was syntonic telegraphy. By carefully tuning both the transmitter and the receiver to resonate on the identical frequency, clear communication finally emerged from the noise.
Today, the deployment of frontier AI systems faces a similar crisis of resonance. Technical models are frequently misaligned with human intent, and global regulatory bodies operate on entirely different wavelengths than the laboratories building the technology.
Alignment. Ensuring that the high-dimensional internal representations of frontier models resonate accurately with human values, intent, and safety parameters without destructive interference.
Multilateralism. Architecting shared evidentiary standards and cross-border regulatory frameworks so that international institutions can coordinate on identical policy wavelengths.
My work is dedicated to the intersection of frontier AI safety, systemic risk, and global geopolitical strategy.
Developing open, reproducible evaluation protocols for frontier models — leveraging direct red-teaming experience to build scalable safety assessment methodologies.
Analyzing how frontier AI systems intersect with international power dynamics, economic competition, and the strategic stability of multilateral alliances.
Translating empirical failure modes into governance architectures, regulatory models, and institutional design recommendations for the international community.
Testing multi-agent systemic flows to map emergent risks and establishing dynamic benchmarking paradigms for interactive, frontier model ecosystems.
Analyzing the trajectory of dual-use emerging technologies to anticipate strategic shifts and inform long-range policy interventions.
The systematic practice of making technical safety research legible to policy communities and governance requirements legible to technical teams.
True alignment requires structural resonance across all three nodes. A failure in empirical evaluation leaves policy blind. A failure in mapping systemic dynamics limits us to static, obsolete benchmarks. And a failure in multilateral governance renders even the best technical safeguards geopolitically useless.
What evaluators learn must reach the people designing governance. That translation is the work.
This site includes work published through Syntony AI Labs as well as selected research, writing, and speaking engagements originally produced through other institutions.
A systems-based model of frontier AI risk examining convergent pathways across cyber, CBRN, deception, autonomy, and governance. The paper argues that catastrophic risk is often driven by cross-domain amplification and the disinformation multiplier rather than isolated failure modes alone.
An ongoing project for the American University of Paris and UNESCO focused on detecting and responding to quiet AI integrity failures in digital testimony archives. The TAIAF framework centers transparency, ongoing consent, real-time monitoring, early detection, and documented accountability, supported by hybrid red-team validation.
System Dynamics Flow ProjectA formal project on causal loop diagrams, stock-and-flow simulation, and convergent risk pathways across frontier AI domains, including cyber misuse, CBRN escalation, governance failure, and disinformation-driven amplification.
Essay · SubstackA reflection on the governance, philosophical, and strategic stakes of advanced AI before scientific certainty arrives — arguing that some of the most consequential decisions will precede consensus.
I publish open research at the intersection of AI safety evaluation and global geopolitics. Every framework, tool, and publication is designed to be used, tested, and built upon.
All frameworks, evaluation protocols, and publications are released under open license. Reproducibility is a requirement, not a feature.
My work is grounded in hands-on adversarial testing of frontier systems — not theoretical speculation about models I have never evaluated.
Formal methodology, transparent assumptions, honest uncertainty quantification. Designed to withstand peer review at top venues.
Every output is produced in forms legible to both technical and policy audiences. This is not outreach — it is the research methodology itself.
AI governance is a cross-border coordination problem. My research accounts for that from the first line, not as an afterthought.
Aligned with the work, not with institutional pressures. My research is conducted and published entirely in the public interest.
I am an AI Safety Researcher and national security analyst with over 13 years of experience working at the intersection of global geopolitics and emerging technology. My career began in classical geopolitics—analyzing deterrence, alliance stability, and institutional conflict. Today, through Syntony Ai Labs, I apply that foundational expertise to the most critical systemic challenge of our era: the safe deployment and governance of frontier AI.
I currently serve as a Senior Research Scientist at National Security Innovations. I also serve as a consulting AI Safety & Security Researcher with OpenAI and Anthropic, and as a Security Fellow with the Truman National Security Project.
I completed my M.A. in Law and Diplomacy from The Fletcher School and studied political economy and strategy at Oxford and Harvard. My work has appeared in venues including the United Nations, the University of Cambridge, the RAND Corporation, War on the Rocks, and The Washington Post.
I welcome collaboration with researchers, evaluation teams, governance bodies, and institutions working on frontier AI safety and oversight.