Frontier AI.
National security.
Nathan Heath is a decision scientist, AI security practitioner, and national security expert with over 14 years of experience.
He founded Syntony to expose how AI systems fail and give the institutions deploying them the evidence to act.
Before founding Syntony, he spent more than six years as a decision scientist supporting the U.S. Department of War, focused on emerging technology risk, systems thinking, and security cooperation. He has also spent three years red-teaming for OpenAI and Anthropic through their private safety programs.
His experience spans government, industry, and academia, including roles at the U.S. Department of State, Harvard Law School, the Hudson Institute, and technology startups focused on Europe and Latin America.
He regularly consults, writes, and speaks on AI safety and security.
- Truman National Security Fellow
- Expert Advisor to the Cloud Security Alliance on catastrophic AI risk
- Former fellow, Hertog Foundation and BlueDot Impact
- M.A. in Law and Diplomacy, The Fletcher School
Nathan’s work has appeared in venues including UNIDIR, NeurIPS, the University of Cambridge, King’s College London, War on the Rocks, PRISM, and GNET.