What is Fiddler AI?
Fiddler AI provides an AI Control Plane designed for enterprise agents, offering comprehensive observability, security, and governance across the entire agentic lifecycle. This platform addresses the critical need for visibility and control as organizations deploy AI agents in production environments. With Fiddler AI, enterprises can monitor agent behavior in real-time, detect anomalies, and enforce guardrails to ensure safe and reliable operation.
Key features include real-time observability dashboards that track agent performance, latency, and accuracy metrics. The platform integrates seamlessly with existing ML pipelines and supports a wide range of AI models, including large language models (LLMs) and traditional machine learning models. Fiddler AI's guardrails allow teams to define rules and policies that prevent agents from taking unintended actions, such as accessing sensitive data or generating harmful content. Additionally, the governance module provides audit trails, compliance reporting, and model versioning to meet regulatory requirements.
Benefits of using Fiddler AI include reduced risk of AI failures, improved trust in agentic systems, and faster time to market for AI-powered applications. Use cases span industries such as finance, healthcare, and e-commerce, where AI agents handle customer service, fraud detection, and personalized recommendations. Technical details include support for Kubernetes deployment, integration with popular frameworks like LangChain and LlamaIndex, and APIs for custom monitoring and alerting. Fiddler AI is built on a scalable architecture that handles high-throughput agent interactions, ensuring low-latency monitoring without impacting agent performance. By providing end-to-end visibility and control, Fiddler AI empowers enterprises to deploy AI agents confidently, knowing they are secure, compliant, and aligned with business objectives.
Use Cases
Key Features
real time observability anomaly detection guardrails enforcement agent behavior monitoring latency tracking accuracy metrics audit trails compliance reporting model versioning ML pipeline integrationWho is it for?
AI engineers, ML teams, enterprise architects, compliance officers, security teams, product managers, risk analysts
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