In this paper, we present an approach to detectingnovel cyber attacks though a form of program diversification, similar to the use of n-version programming forfault tolerant systems. Building on extensive previousand ongoing work by others on the use of code clonesin a wide variety of areas, our Functionally EquivalentVariants using Information Synchronization (FEVIS) system automatically generates program variants to berun in parallel, seeking to detect attacks through divergencein behavior. Unlike approaches to diversificationthat only change program memory layout and behavior, FEVIS can detect attacks exploiting vulnerabilities inexecution timing, string processing, and other logicerrors. We are in the early stages of research and developmentfor this approach, but have made sufficientprogress to provide a proof of concept and somelessons learned. In this paper we describe FEVISand its application to diversifying an open-sourcewebserver, with results on several different exampleclasses of attack which FEVIS will detect.