The deal, revealed on 16 December 2025, aims to strengthen Red Hat’s open source enterprise platform by adding a dedicated security for AI layer.
As organisations move AI workloads from experimentation to production, the need for demonstrable and trustworthy models has increased.
Chatterbox Labs, founded in 2011, specialises in model-agnostic AI safety and quantitative risk assessment.
Their technology provides automated testing to validate data and models, offering risk metrics for Large Language Models (LLMs) and predictive AI architectures.
Steven Huels, Vice President of AI Engineering and Product Strategy at Red Hat, described the technology as essential for the industry.
Steven Huels
“Chatterbox Labs’s innovative, model-agnostic safety testing and guardrail technology is the critical ‘security for AI’ layer that the industry needs,” Huels stated.
He added that the integration supports Red Hat’s goal of enabling responsible, production-grade AI at scale.
The acquisition also aligns with Red Hat’s roadmap for agentic AI and the Model Context Protocol (MCP).
Chatterbox Labs has conducted investigative work into securing autonomous agents, such as monitoring agent responses and detecting action triggers.
Stuart Battersby, Co-Founder of Chatterbox Labs, highlighted the importance of transparency.
Stuart Battersby
“It is critical that AI guardrails are not merely deployed; they must be rigorously tested and supported by demonstrable metrics,” he said. “By joining Red Hat, we can bring these validated, independent safety metrics to the open source community”.
Featured image: Edited by Fintech News Singapore based on an image by user28295394 via Freepik.
