Red Hat to acquire Chatterbox Labs: Frequently Asked Questions

On December 16, 2025, Red Hat announced the acquisition of Chatterbox Labs, a pioneer in model-agnostic AI safety and generative AI (gen AI) guardrails.

The following questions and answers provide additional context on the acquisition and what it means for Red Hat customers and partners.

The Announcement

What is the news? Red Hat announced on December 16, 2025, that it has acquired Chatterbox Labs, a private company founded in 2011 that provides model testing and gen AI guardrails. Chatterbox Labs technology, known as the AIMI platform, delivers quantitative AI risk metrics to help organizations validate that their data and models are safe, transparent, and compliant with global regulations.

Who is Chatterbox Labs? Founded in 2011 and headquartered in London with an office in New York City, Chatterbox Labs is a team of researchers and engineers focused on addressing the unintended consequences of AI. Their team brings a deep academic pedigree and more than a decade of experience in machine learning systems.

Strategic Rationale

Why is Red Hat acquiring Chatterbox Labs? As enterprises move AI from experimentation to production, the ability to monitor models for bias, toxicity, and vulnerabilities is critical. Guardrails and safety testing have become "table stakes" for modern MLOps and LLMOps platforms.

This acquisition directly addresses the growing need for "security for AI." By integrating Chatterbox Labs technology, Red Hat aims to provide a comprehensive enterprise open source AI platform that enables customers to run production workloads with confidence.

How does Chatterbox Labs fit into the Red Hat AI portfolio? Chatterbox Labs complements Red Hat’s existing AI portfolio, including Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) and Red Hat OpenShift AI.

Following the recent launch of Red Hat AI 3, which introduced capabilities for agentic AI and Model Context Protocol (MCP), Chatterbox Labs adds a critical layer of safety and transparency for these advanced workloads. Their technology aligns with Red Hat's strategy to support any model, on any accelerator, anywhere, by ensuring those models are secure regardless of where they run.

Chatterbox Labs’ technology delivers automated, customized AI security and safety testing. It provides the factual risk metrics that enterprise leaders need to approve AI into production, including capabilities for:

• Gen AI guardrails: Iterative, real-time monitoring during inference to identify prompts and outputs that are insecure, toxic, or biased.
• Model transparency: Active probing of models to identify vulnerabilities such as prompt injection, jailbreaking, and data leakage.
• Predictive AI validation: Tools to validate traditional AI architectures across pillars such as robustness, fairness, and explainability.
• Executive dashboards: A portfolio view of AI model risks for business leaders.

Does this technology support the new agentic AI capabilities in Red Hat AI 3? Yes. The Chatterbox Labs team has been actively investigating and developing capabilities for holistic agentic security. This includes measuring agent responses and detecting MCP server action triggers. This roadmap aligns directly with the Llama Stack (agentic) and MCP support recently released in Red Hat AI 3.

Will Red Hat open source Chatterbox Labs technology? Red Hat has a long history of acquiring proprietary technology and open sourcing it to drive innovation and community adoption. We plan to follow our standard open source development model with Chatterbox Labs’ technology, making these critical safety tools accessible to the broader community over time.

Customer and Partner Impact

How does this benefit Red Hat customers? Customers will gain access to enhanced tools for validating AI models and monitoring AI inferences directly within their Red Hat AI workflows. This acquisition helps close the gap between proof of concept and production by providing risk management and transparency tools that enterprise risk and compliance teams demand.

How does the acquisition impact Red Hat partners? Red Hat maintains a robust ecosystem of AI partners. While this acquisition will add native guardrail capabilities to our platform, the "security for AI" market is vast. We remain committed to offering customer choice and will continue to support our ISV partners who provide complementary security and MLOps solutions on top of Red Hat OpenShift AI.