Of Stochastic Parrots and Deterministic Predators: Decision-Making in Adversarial Automation

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Presented at DEF CON 33 by

Bobby Kuzma

Michael Odell

In an era where AI systems oscillate between mimicking human-like randomness and executing precise, predatory strategies, understanding decision-making in adversarial automation is critical. This talk explores the tension between "stochastic parrots"; generative models that produce probabilistic outputs, and "deterministic predators," systems designed to behave in a predictable pattern in adversarial settings. We will delve into the mechanics of decision-making under uncertainty, examining how these systems navigate competitive environments, from game-playing AIs to cybersecurity defenses. Attendees will gain insights into the algorithms driving these dynamics, and where the technology is heading. We will be releasing tooling around our deterministic TTP selection engine. Bobby Kuzma is a seasoned offensive security researcher with a long running interest in computational decision making. He currently runs the Offensive Cyber Operations team at ProCircular.