"Founded in 2011, Chatterbox Labs focuses on AI security, transparency about AI activity, and quantitative risk analysis. The company's technology provides automated security and safety tests that generate risk metrics for enterprise implementations. This is an important piece of the puzzle in providing the necessary stability for the advance of AI. IDC predicts AI spending of $227 billion in the enterprise market by 2025, but scaling up pilots to production remains costly and complex."
"The Chatterbox Labs stack rests on three components. AIMI for gen AI provides quantitative risk metrics for LLMs. AIMI for predictive AI validates AI architectures for robustness, fairness, and explainability. Finally, Guardrails identify and remediate unsafe, toxic, or biased prompts before models go into production. That last feature has become crucial. Many organizations struggle with the question of how to deploy generative AI safely without constant manual supervision."
Red Hat expanded its AI security capabilities through the acquisition of Chatterbox Labs, adding built-in protection for cloud and hybrid environments. Chatterbox Labs, founded in 2011, delivers automated security and safety tests that produce quantitative risk metrics for enterprise AI deployments. The technology stack includes AIMI for gen AI to measure LLM risk, AIMI for predictive AI to validate robustness, fairness, and explainability, and Guardrails to identify and remediate unsafe, toxic, or biased prompts prior to production. Guardrails automate prevention of problematic content and help mitigate hallucinations, supporting safer scaling from pilots to production and advancing agentic AI integration.
Read at Techzine Global
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