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Researching AI-Native Cyber Conflict Before the Market Caught Up

AI Voodoo tracks how autonomous offensive and defensive systems are reshaping cybersecurity, from early demonstrations of AI-driven polymorphism and agentic tradecraft to the emerging operating models for Mythos-era agentic combatants and the required defenses.

Read Latest Research: Mythos-Era Cyber Combatants 
Artificial intelligence has become an active combatant in the theatre of cyberwarfare. Yet the ways in which near-future offensive actors will leverage AI are unlikely to mirror familiar playbooks or even the scope of today's proof-of-concepts. These agentic aggregations will think and move asymmetrically, guided by machine logic, probability and speed rather than human intuition. Over the past several years, the speaker has been a leading voice in offensive AI research, focused on probing the edges of emerging machine-enabled threats. 


​About Me
Jeff Sims works at the intersection of frontier AI and cybersecurity, building production grade agentic capabilities and focusing on how advanced systems fail and are operationalized in the real world. As an external expert to government agencies, frontier AI labs, and international organizations including the United Nations Office on Drugs and Crime, his work informs global guidance on AI-enabled cyber risk and strategic security implications. Jeff has served on confidential programs at frontier labs assessing national security–level harm scenarios and AI red teaming engagements, stress-testing prototype systems against high-consequence threats. He is widely cited for identifying and demonstrating LLM-driven offensive capabilities and autonomous malicious agents well before they became operational threats, with work that has shaped analysis across government, national laboratory research, international policy, and legal scholarship. ​