Fiddler AI

Fiddler AI is a pioneering platform in the AI Observability space, dedicated to helping enterprises and government agencies build, deploy, and manage trustworthy AI at scale. In an era where AI's unpredictable behavior can lead to significant business risks—from revenue loss to compliance failures—Fiddler provides a command center to monitor, analyze, and protect all AI agents. It offers a unified solution for both Large Language Models (LLMs) and traditional Machine Learning (ML) models, ensuring complete visibility and control over your entire AI ecosystem. The platform is designed to catch hidden anomalies like feature drift, concept drift, latency spikes, and security threats before they impact your business or erode customer trust.

How to use Fiddler AI

Using Fiddler AI involves a structured process to integrate observability into your AI lifecycle:

1. Integration: Connect Fiddler AI to your existing AI/ML ecosystem. It supports various deployment environments, including SaaS, private cloud (VPC), and AWS GovCloud. The platform integrates with your data sources and model serving environments.
2. Model Registration: Register your ML models or LLM-powered applications with the Fiddler platform. This involves providing model artifacts and schema information to enable comprehensive monitoring.
3. Monitoring & Analysis: Utilize the Fiddler dashboard to monitor real-time model performance, data drift, and data integrity. Set up custom alerts for specific metrics and thresholds to be notified of potential issues proactively.
4. Explainability & Diagnostics: When an issue is detected, use Fiddler's powerful explainable AI (XAI) capabilities to perform root cause analysis. Understand why a model made a specific prediction and identify the features driving its behavior.
5. LLM Guardrails: Implement Fiddler's LLM Guardrails to protect against prompt hacking, jailbreak attempts, toxic outputs, and other security vulnerabilities. The Fiddler Trust Service provides fast and accurate metrics without external API calls.
6. Compliance & Reporting: Generate audit evidence and reports to meet Governance, Risk, and Compliance (GRC) standards. Customize dashboards to demonstrate AI fairness, transparency, and accountability to stakeholders and regulators.

Core Features of Fiddler AI

• Unified LLM and ML Observability: A single platform to monitor, analyze, and protect all your AI models, providing a holistic view of your AI landscape.
• LLM Guardrails: Advanced security features to detect and mitigate risks like prompt injection, data leakage, and harmful content generation in real-time.
• Explainable AI (XAI): Powerful tools for root cause analysis, allowing you to understand model predictions and diagnose issues like bias and performance degradation.
• Performance Monitoring: Track key metrics such as accuracy, latency, and drift (feature, concept) to ensure models operate as expected in production.
• Fairness & Bias Detection: Analyze models for fairness issues and identify biases across different demographic segments, helping you build responsible AI.
• Enterprise-Grade Security & Deployment: Supports secure deployments in SaaS, VPC, and AWS GovCloud environments, ensuring data privacy and control.
• Audit & Compliance Reporting: Easily generate evidence and reports required for GRC standards and AI regulations.

Use Cases for Fiddler AI

Fiddler AI is versatile and can be applied across various industries:

• Financial Services: Monitor credit scoring and fraud detection models for drift and bias, ensuring fair lending practices and regulatory compliance.
• Healthcare: Ensure the reliability and fairness of diagnostic AI models, monitoring for performance degradation that could impact patient outcomes.
• E-commerce & Retail: Analyze recommendation engines and pricing models to prevent revenue loss from silent failures. Protect LLM-based customer service bots from generating inappropriate responses.
• Government & Public Sector: Deploy AI systems in secure environments like AWS GovCloud, maintaining transparency and accountability for public-facing AI applications.
• Technology & SaaS: For companies building AI-powered features, Fiddler ensures the reliability and security of these features, protecting user trust and brand reputation.

Advantages of Fiddler AI

The key advantages of implementing Fiddler AI include:

• Build Trust: Provides the transparency and explainability needed to build trust in AI among developers, business stakeholders, and customers.
• Proactive Issue Resolution: Catches problems like drift, bias, and security threats early, enabling teams to resolve them before they cause significant damage.
• Unified Control Center: Eliminates dashboard sprawl by offering a single, integrated platform for all AI monitoring needs, from traditional ML to generative AI.
• Accelerated AI Adoption: By providing a clear path to production-ready, responsible AI, Fiddler helps organizations scale their AI initiatives confidently.
• Enhanced Security: The robust LLM Guardrails and secure deployment options protect sensitive data and prevent misuse of AI models.
• Compliance-Ready: Simplifies the process of meeting regulatory requirements and internal governance policies for AI.

Pricing and Plans

Fiddler AI offers tailored pricing plans for enterprises and government agencies. The platform includes a free tier for its LLM Guardrails, allowing teams to start protecting their applications immediately. For comprehensive AI observability, monitoring, and explainability features, Fiddler provides custom enterprise plans. Interested parties are encouraged to request a personalized demo to discuss their specific needs and receive a detailed quote. The pricing is structured to scale with your AI usage and deployment complexity.