Fiddler AI

Fiddler AI

Fiddler AI is an enterprise control plane for AI agents and predictive applications, delivering unified observability, security and governance. It enables engineering, risk and compliance teams to monitor, understand and control AI behavior—improving transparency, reliability and accountability across the full development-to-production lifecycle.
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Features of Fiddler AI

Multi-layer observability and monitoring with fine-grained visualization of performance and behavior from application level down to span/trace level.
Runtime safeguards to help prevent sensitive data leaks, prompt injection and other security risks.
Governance, risk management and compliance workflows with auditable controls and reporting.
Model performance monitoring, data drift and anomaly detection with alerting for proactive operations.
Model decision explainability to help diagnose root causes of performance issues.
Bias detection and mitigation tools to support fairness management across model predictions.
Monitoring features optimized for generative AI, including hallucination detection and support for custom metrics.
Integrations with existing ML/LLM deployments, including a Python SDK and LangChain callback handler.
Operational metrics tracking such as latency and cost to help optimize resource allocation and align with business value.

Use Cases of Fiddler AI

Financial institutions deploying automated loan approvals or trading models to ensure fairness, transparency and regulatory compliance.
Healthcare organizations using AI for clinical decision support to monitor accuracy, reliability and compliance with industry standards.
Tech companies optimizing chatbots or recommender systems to track model performance, reduce bias and improve user experience.
Engineering and operations teams managing complex AI agents in production to monitor non-deterministic behavior and system performance.
Risk and compliance teams conducting audits of AI systems using the platform’s governance and auditability features.
Developers integrating large language models into application workflows to detect prompt injection, PII leakage and other runtime security threats.
Enterprises deploying models across multi-cloud or hybrid environments to centralize monitoring of model performance and stability.

FAQ about Fiddler AI

QWhat is Fiddler AI?

Fiddler AI is an enterprise control plane platform that provides observability, security monitoring and governance for AI models, covering both predictive and generative AI.

QWhat are Fiddler AI’s main features?

Core capabilities include comprehensive model monitoring and observability, security risk controls (such as prompt injection and PII protection), model explainability, bias detection and governance, and specialized monitoring for generative AI and agents.

QWho is Fiddler AI suitable for?

Organizations that need to deploy and manage AI responsibly—common users include finance, healthcare, insurance, government and technology companies. Typical teams are engineering, IT/operations, and risk & compliance.

QHow do I use or integrate the Fiddler AI platform?

Integration is typically done by installing the Python client package (fiddler-client) and configuring connection details. The platform provides SDKs and APIs and supports existing ML/LLM workflows and frameworks such as LangChain.

QHow does Fiddler AI help manage AI security and risk?

The platform offers runtime protections to detect and block prompt injection, sensitive data leakage and model hallucinations, and includes built-in trust models to help manage cost and privacy considerations.

QDoes Fiddler AI offer a free trial or demo?

According to public information, users can request a free trial or product demo through the official website to evaluate the platform’s capabilities.

QIs Fiddler AI related to the Fiddler Classic packet capture tool?

No. Fiddler AI is an independent AI observability and security platform, while Fiddler Classic is a separate network debugging packet-capture tool.

QWhat types of AI models does Fiddler AI support?

The platform supports monitoring across a range of models, including traditional predictive models (tabular, NLP, CV), generative AI models such as large language models (LLMs), and AI agents.