Fiddler AI

AI observability and security platform for monitoring, explaining, and governing ML and LLM applications.

4.7 (6)

Reviewed by Daniel Nikulshyn·Updated May 2026

Enterprise AI Observability MLOps LLM Monitoring Responsible AI Explainability AI Security Governance

Overview

Fiddler AI is an enterprise platform that helps teams monitor, analyze, and secure machine learning models and generative AI applications in production. It provides visibility into model performance, data drift, bias, and quality issues, while also offering safeguards against risks specific to LLMs such as hallucinations, prompt injection, and unsafe outputs. Designed for ML engineers, data scientists, and risk and compliance teams, Fiddler combines explainability, real-time monitoring, and guardrails in a single workflow. It integrates with common ML pipelines and cloud environments, helping organizations operationalize responsible AI practices at scale.

Key features

Model performance and drift monitoring
LLM hallucination and safety detection
Prompt injection and jailbreak protection
Explainable AI and root cause analysis
Bias and fairness assessments
Dashboards and alerts for production AI

Pricing

Model: Free
Category: Observability
Rating: 4.7 / 5 (6)

Use cases

Monitor ML Models in Production

Track model performance, data drift, and quality issues in real time with dashboards and alerts to detect degradation before it impacts business outcomes.

Safeguard LLM Applications

Detect hallucinations, block prompt injection and jailbreak attempts, and filter unsafe outputs to keep generative AI deployments secure and reliable.

Explain Model Decisions and Diagnose Issues

Use explainable AI and root cause analysis to understand predictions, debug unexpected behavior, and build stakeholder trust in model outputs.

Assess Bias and Support AI Governance

Run fairness assessments and maintain audit-ready visibility into ML and LLM systems to meet enterprise compliance and responsible AI requirements.

Pros & Cons

Pros

Unified observability for traditional ML and LLMs
Built-in explainability and bias detection
Guardrails for generative AI safety and security
Supports enterprise governance and compliance needs

Cons

Geared toward enterprises, less suited to small teams
Requires setup and integration effort
Pricing not transparent on the website

Reviews

4.7

Average from 6 ratings.

Mei-Ling Wong

Does the job

Pretty happy overall. Dashboards and alerts for production AI just works and guardrails for generative AI safety and security. Requires setup and integration effort can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Priya Nair

Compared a few options

Evaluated this against two competitors. Where it wins: prompt injection and jailbreak protection and built-in explainability and bias detection. Where it lags: requires setup and integration effort. On balance the feature set — especially model performance and drift monitoring — justifies the 5 stars for our use case.

Diego Fernández

Years in this space

I've evaluated a lot of these over the years. What stands out here is explainable AI and root cause analysis — handled better than most — and guardrails for generative AI safety and security. Requires setup and integration effort is my one real gripe. Worth the time if this is your use case.

Rina Desai

Solid for our team

We rolled this out across the team last quarter and unified observability for traditional ML and LLMs. Prompt injection and jailbreak protection fits neatly into how we already work, and bias and fairness assessments removed a step we used to do by hand. Pricing not transparent on the website, which is the main caveat, but it has held up under daily use.

Joanna Kowalski

Does the job

Pretty happy overall. Prompt injection and jailbreak protection just works and supports enterprise governance and compliance needs. Requires setup and integration effort can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Esther Adeyemi

Years in this space

I've evaluated a lot of these over the years. What stands out here is prompt injection and jailbreak protection — handled better than most — and supports enterprise governance and compliance needs. Worth the time if this is your use case.

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