Case Study: Nielsen achieves trusted, safe multi-agent AI copilot operations with Fiddler AI

Nielsen blocks 100% toxic content with Fiddler

Nielsen, a global leader in audience measurement and analytics, faced the challenge of scaling its multi-agent AI analytics copilot, 'Ask Nielsen', without compromising on trust, governance, or brand safety. The system's complexity introduced risks from adversarial jailbreak attempts and the potential for toxic content in its responses. To safely serve enterprise clients, Nielsen needed a runtime trust layer that could provide actionable diagnostics and low-latency enforcement, which led them to partner with Fiddler AI.

By implementing Fiddler's AI observability solutions and Fiddler Guardrails, Nielsen established a runtime trust and governance layer integrated directly into its architecture. The solution delivered enterprise-grade safety with measurable results, including 100% accuracy filtering toxic content and 98% accuracy blocking jailbreak attacks, all with sub-100ms latency. Fiddler AI provided the visibility and enforcement needed for Nielsen to confidently scale its AI system across new datasets and client segments.

Nielsen