Sondera Information

Agents are probabilistic by design. Your controls can't be. Most approaches to securing agent behavior put a model in the judge seat, so the verdict is a guess. Sondera pulls the decision out of the model: neural classifiers read every action, symbolic code renders the verdict. Your rules, written in natural language, become verified code that checks every agent action before it runs. Same action, same verdict, every time. The method is our own peer-reviewed autoformalization research, accepted at ICML and FLoC, with applications presented at Black Hat USA Arsenal and Unprompted. Sondera runs today on every major agent harness, for enterprises that need deterministic rules on non-deterministic agents. A model's verdict is a guess. Ours is a function.