# fiddler.ai

> AI-optimized mirror of fiddler.ai containing 50 pages totalling 59,200 words of clean markdown content, structured data, and semantic HTML. Original source: https://fiddler.ai. Last updated: 2026-07-20T14:40:14.732Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Fiddler AI: AI Control Plane for Enterprise Agents | Observability & Security](/content/site-root.html): The Fiddler AI Control Plane provides enterprises with visibility, context, and control across the agentic lifecycle with observability, guardrails, and governance. (146 words)

## Articles & Blog Posts

- [Thinking of AI as a Public Service - Generative AI Meets Responsible AI | Fiddler AI](/content/resources/gai-meets-rai-thinking-of-ai-as-a-public-service/index.html): Watch this session to learn how AI can be used for societal benefit, the importance of intentionality when designing new technology, and applications for generative AI., Watch this session to learn how AI can be used for societal benefit, the importance of intentionality when designing new technology, and applications for generative AI. (5,913 words)
- [The Missing Link in Generative AI: Model Monitoring | Fiddler AI Blog](/content/blog/the-missing-link-in-generative-ai/index.html): Model monitoring, explainability, and bias detection are the missing link in the generative AI stack to deploy generative AI at scale. (1,544 words)
- [Identify ML Drift Before You Have a Problem | Safe and Sound AI Podcast](/content/podcasts/identify-ml-drift-before-you-have-a-problem/index.html): In this episode, we explain model drift in Machine learning — covering concept vs. data drift, detection methods, and practical solutions for maintaining AI performance. (1,821 words)
- [OpenTelemetry Agent: Which Telemetry Signals Matter Most | Fiddler AI Blog](/content/blog/opentelemetry-agent-telemetry-signals/index.html): Learn which telemetry signals matter most for AI agents. Traces, agent-specific metrics, and semantic conventions for OpenTelemetry instrumentation. (1,921 words)
- [Legal Frontiers of AI with Patrick Hall | Fiddler AI Blog](/content/blog/legal-frontiers-of-ai-with-patrick-hall/index.html): Learn the top 3 takeaways for building responsible AI from AI risk expert Patrick Hall, including tips for model risk management, model governance, and AI fairness. (850 words)
- [Explainable Monitoring for Successful Impact with AI Deployments | Fiddler AI Blog](/content/blog/explainable-monitoring-for-successful-impact-with-ai-deployments.html): We brought together a panel of technical and product leaders to discuss operationalizing machine learning systems, and the key role that monitoring and explainability has to play in an organization’s AI stack. (1,326 words)
- [GenAI Use Cases and Challenges in Healthcare with Dr. Girish Nadkarni | AI Explained Podcast](/content/podcasts/genai-use-cases-and-challenges-in-healthcare-with-dr-girish-nadkarni.html): In this episode, we’re joined by Dr. Girish Nadkarni from Icahn School of Medicine at Mount Sinai to discuss AI in healthcare, key risks, and future of AI in medicine. (328 words)
- [Model Monitoring Framework | Fiddler AI](/content/ml-model-monitoring/model-monitoring-framework/index.html): Discover how machine learning models can steer your business in the wrong direction and what measures you can take to stay on course. (1,783 words)
- [Why AI Defense Has to Become Autonomous | Fiddler AI Blog](/content/blog/autonomous-ai-defense/index.html): AI security can't rely on human-speed review. Learn why autonomous defense is coming and how the Behavior, Identity, and Control framework governs AI agents. (1,170 words)
- [The Impact of Achieving Responsible AI in Finance | Fiddler AI Blog](/content/blog/achieving-responsible-ai-in-finance/index.html): Achieving responsible AI in finance has become a priority for many financial service professionals. Learn about the impact of AI in the financial sector. (1,577 words)
- [Use Case Resources | Fiddler AI Resources](/content/topic/ai-use-cases/index.html): The real-world value of AI Observability for AI and ML solutions (472 words)
- [We Stand With Ukraine | Fiddler AI Blog](/content/blog/we-stand-with-ukraine/index.html): We want to express our solidarity and support to Ukraine at this moment of crisis. (235 words)
- [How Are Machine Learning Models Tested? And Where Can Testing Go Wrong? | Fiddler AI](/content/articles/how-are-machine-learning-models-tested-and-where-can-testing-go-wrong.html): How can developers manage the significant challenges associated with testing ML models? AI observability is the key. (799 words)
- [How do I monitor model degradation? | Fiddler AI](/content/articles/how-do-i-monitor-model-degradation/index.html): Monitoring your machine learning model is an important step to stop degradation and concept drift. But what is degradation and how do you monitor it? (994 words)
- [Customer Experience AI Observability for Agents | Fiddler AI](/content/solutions/customer-experience/index.html): Monitor and protect customer-facing AI agents in production. Prevent hallucinations, ensure compliance, and optimize performance before issues affect customers. (618 words)
- [Responsible AI Podcast Ep.3 – “We’re at an Interesting Inflection Point for Humanity” | Fiddler AI Blog](/content/blog/responsible-ai-podcast-ep-3-were-at-an-interesting-inflection-point-for-humanity.html): In this episode, Fiona McEvoy, the founder of YouTheData.com, shares her perspective on topics like algorithmic bias, deep fakes, and emotional AI. (994 words)
- [Lessons from a Physician-CIO on AI Governance with Dr. Stacey Johnston | AI Explained Podcast](/content/podcasts/physician-cio-ai-governance-with-stacey-johnston/index.html): On this episode, we are joined by Stacey Johnston, MD, CIO at Beacon Health System. She shares how agentic AI is delivering ROI and why clinician trust starts with workflow fit. (359 words)
- [Announcing Series B and General Availability of Enterprise-Ready Fiddler | Fiddler AI Blog](/content/blog/announcing-series-b-and-general-availability-of-enterprise-ready-fiddler.html): Today, we’re excited to announce that enterprise-ready Fiddler is generally available, and we’ve raised $32 Million in Series B funding! (512 words)
- [Introducing Slice and Explain™ - Automated Insights for your AI Models | Fiddler AI Blog](/content/blog/introducing-slice-and-explain-automated-insights-for-your-ai-models.html): Learn about Slice and Explain™, an AI Analytics Workflow tool that expands Fiddler's explanations through automated insights for your AI models. (336 words)
- [What Is an Agent Harness and Why It Matters | Fiddler AI Blog](/content/blog/what-is-an-agent-harness/index.html): An agent harness is the infrastructure that turns a raw LLM into a production agent. Learn the five core components, how harness engineering works, and why observability across harnesses matters. (740 words)
- [AI Explained: Why Do Smarter AI Agents Still Break? | Fiddler AI Webinars](/content/webinars/ai-explained-smarter-agents-still-break/index.html): Hear Turing's Juhi Parekh on why capable models still produce agents that fail in production, and what post-training pipelines can fix. (365 words)
- [Research: A Human-Centric Take on Model Monitoring | Fiddler AI](/content/resources/a-human-centric-take-on-model-monitoring/index.html): Learn the human-centric challenges and requirements for ML model monitoring in real-world applications. (243 words)
- [Whitepaper: The Ultimate Guide to ML Model Performance | Fiddler AI Reports](/content/guides/the-ultimate-guide-to-ml-model-performance/index.html): ML models naturally degrade in performance over time. To catch and correct performance issues, teams must monitor model performance throughout the ML lifecycle., ML models naturally degrade in performance over time. To catch and correct performance issues, teams must monitor model performance throughout the ML lifecycle. (93 words)
- [Fiddler AI Named a Top 50 Data Startup by Andreesen Horowitz | Fiddler AI Blog](/content/blog/fiddler-named-top-50-data-startup-by-andreesen-horowitz.html): a16z has released their inaugural class of the Data50 and Fiddler is selected for the AI/ML category! (333 words)
- [AI Agents Have an Identity Complex With Jeff Malnick | AI Explained Podcast](/content/podcasts/ai-agents-identity-complex-with-jeff-malnick/index.html): On this episode, we are joined by Jeff Malnick, VP of Engineering at 1Password. He shares why agent identity is the urgent new security problem. (10,848 words)
- [AWS Partner: Meet Fiddler - Explainable AI for Your MLOps | Fiddler AI](/content/resources/aws-howdy-partner-meet-fiddler-explainable-ai-for-your-mlops.html): Improve your MLOps workflow on SageMaker using Fiddler's Model Performance Management platform. (109 words)
- [blog/preventing-model-decay/index.html](/content/blog/preventing-model-decay/index.html) (890 words)
- [resources/gai-meets-rai-enterprise-generative-ai-promises-vs-compromises.html](/content/resources/gai-meets-rai-enterprise-generative-ai-promises-vs-compromises.html) (4,437 words)
- [AI Ethics Guide: The Necessity of AI Monitoring and Governance | Fiddler AI](/content/articles/ai-ethics-guide/index.html): AI ethics help to keep AI outputs accurate and fair while making sure that this technology is used responsibly. (958 words)
- [Fiddler AI Observability Platform for LLMOps - AI Forward | Fiddler AI](/content/resources/ai-forward-fiddler-ai-observability-platform-for-llmops.html): Watch this demo to explore how the Fiddler AI Observability Platform for LLMOps streamlines end-to-end LLMOps by enabling data scientists and AI practitioners., Watch this demo to explore how the Fiddler AI Observability Platform for LLMOps streamlines end-to-end LLMOps by enabling data scientists and AI practitioners. (916 words)
- [Automating Eval-Driven Development Workflow for Agentic Applications | Fiddler AI Blog](/content/blog/automating-eval-driven-development-agentic-applications.html): Eval-Driven Development closes the loop on agentic testing. See how Fiddler Evals and coding agents automate the iteration cycle for non-deterministic LLM outputs. (1,726 words)
- [Major Fiddler Upgrades For Actionable Insights And Rich Diagnostics | Fiddler AI Blog](/content/blog/major-fiddler-upgrades-for-actionable-insights-and-rich-diagnostics.html): Announcing major Fiddler upgrades to help ML teams create a continuous feedback loop in the ML lifecycle with actionable insights and rich diagnostics. (1,080 words)
- [ML Model Monitoring Resources | Fiddler AI Resources](/content/topic/ml-model-monitoring/index.html): Detect model drift, assess performance and integrity, and set alerts (1,045 words)
- [AI Agents Have an Identity Complex | Fiddler AI Blog](/content/blog/ai-agents-identity-complex/index.html): AI agents break traditional permission models. Learn why agent identity is the security problem most teams are ignoring and how to build defenses that work. (1,725 words)
- [Data Sheet: AI Observability for Financial Services | Fiddler AI](/content/resources/fiddler-for-financial-services/index.html): The Fiddler AI Observability platform helps financial service institutions monitor, analyze , explain, and improve predictive and generative AI models and applications. (1,085 words)
- [How Can You Improve Your ML Performance? | Fiddler AI](/content/articles/how-can-you-improve-your-ml-performance/index.html): Poor performance has serious consequences in AI. But a model performance monitoring framework might be the solution. (817 words)
- [XAI Summit Highlights: Responsible AI in Banking | Fiddler AI Blog](/content/blog/xai-summit-highlights-responsible-ai-in-banking/index.html): In this blog, we shift the focus to banking, an industry that is increasingly using artificial intelligence to improve business outcomes, while also dealing with strict regulation and increased public scrutiny. (1,183 words)
- [With Great ML Comes Great Responsibility | Fiddler AI Blog](/content/blog/with-great-ml-comes-great-responsibility/index.html): Avoid unintended and harmful consequences by your ML models with this set of key questions during the model development process. (1,078 words)
- [Trusted ML Monitoring for Fintech Growth | Fiddler AI](/content/customers/leading-consumer-lending-platform/index.html): Discover how a top consumer lending platform uses Fiddler AI Observability to enhance ML monitoring, improve explainability, and save over 2,000 hours annually. (1,227 words)
- [Evaluate LLMs Against Prompt Injection Attacks Using Fiddler Auditor | Fiddler AI Blog](/content/blog/evaluate-llms-against-prompt-injection-attacks-using-fiddler-auditor.html): Fiddler Auditor evaluates LLMs against prompt injection attacks to prevent misuse of LLMs that pose adversarial risks and harmful effects to organizations and users. (935 words)
- [Fiddler AI Observability Now on Google Cloud Marketplace | Fiddler AI Blog](/content/blog/fiddler-ai-observability-now-on-google-cloud-marketplace.html): The Fiddler AI Observability Platform for LLMOps and MLOps is now on the Google Cloud Marketplace, enabling scalable, secure, and trustworthy AI deployments for enterprises.,  (520 words)
- [Regulations to Trust AI Are Here. And it's a Good Thing | Fiddler AI Blog](/content/blog/regulations-to-trust-ai-are-here-and-its-a-good-thing.html): With customer protection in mind, regulators are staying ahead of this technology and introducing the first wave of AI regulations meant to address AI transparency. (631 words)
- [Which is more important: model performance or model accuracy?  | Fiddler AI](/content/model-accuracy-vs-model-performance/which-is-more-important-model-performance-or-model-accuracy.html): Model accuracy is an important component of model performance in machine learning, but how exactly do the two relate? (733 words)
- [MLOps Lifecycle | Fiddler AI Blog](/content/blog/mlops-lifecycle/index.html): Short overview of how machine learning models fit into a business and the nine steps of a successful MLOps lifecycle. Read more. (565 words)
- [Extraordinary Times | Fiddler AI Blog](/content/blog/extraordinary-times/index.html): At Fiddler Labs, we’ve taken action to stop the spread of the Coronavirus and ensure the safety of our employees and community (548 words)
- [Fiddler Enhances AI Agents with NVIDIA Enterprise AI Factory Integration | Fiddler AI Blog](/content/blog/select-guardrails-partner-nvidia-enterprise-ai-factory.html): Fiddler Guardrails integrates with NVIDIA Enterprise AI Factory and AI Blueprints, helping enterprises deploy AI with safety, trust and transparency. (339 words)
- [Whitepaper: How to Measure ML Model Drift | Fiddler AI Reports](/content/guides/how-to-measure-ml-model-drift/index.html): Download the whitepaper to learn why model drift is important, how to measure model drift, and more., Download the whitepaper to learn why model drift is important, how to measure model drift, and more. (70 words)
- [Demo - Quicktour: Deliver high-performing ML for better Business Outcomes Using Fiddler AI Observability  | Fiddler AI](/content/resources/deliver-high-performing-ml-for-better-business-outcomes.html): Learn how Fiddler AI Observability provides ML teams with a unified platform to deliver and improve high-performing ML models while saving time and money., Learn how Fiddler AI Observability provides ML teams with a unified platform to deliver and improve high-performing ML models while saving time and money. (66 words)
- [Responsible AI with Model Risk Management | Fiddler AI Blog](/content/blog/responsible-ai-with-model-risk-management/index.html): Responsible AI has become common among financial institutions to better mitigate risk. Learn about AI and model risk management here at Fiddler AI. (197 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/robots.txt): Crawler directives