CodeHunter API Integrates Deterministic AI Models into DevSecOps Workflows
devops.com, Wednesday, February 11th, 2026
CodeHunter, a provider of behavioral malware analysis and threat intelligence tools, today announced it is making available an application programming interface (API) to make it simpler to embed the capabilities it provides within a DevSecOps workflow.
At its core, CodeHunter makes use of a set of deterministic AI models that it has developed to analyze software artifacts at the binary level, which then makes it possible to understand how they were built and the actual intent of the functionality embedded within them. The output created is a Behavioral Intent Profile (BIP), a deterministic, explainable record of how an artifact is expected to behave and whether that behavior introduces security, operational, or compliance risk.
Ken Ammon, chief strategy officer for CodeHunter, said rather than relying on probabilistic large language models (LLMs) to analyze source code, the CodeHunter approach makes it possible to accurately deconstruct an entire application. Armed with those insights, it becomes simpler to more precisely identify how, and to what extent, malware has been injected into an application, he added.