Build Responsible AI with AI Observability

Fiddler partners with you in creating a long-term framework for responsible AI.
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Fiddler is a pioneer in AI Observability and Security — the foundation which gives enterprises the confidence to ship more predictive and generative models and LLM applications into production safely and responsibly. We help instill trust and transparency in your LLM and ML applications — factors that directly impact your return on investment (ROI). By driving AI governance, risk management, and compliance, Fiddler supports the advancement of responsible AI practices. AI Observability is reliant not only on metrics, but also on how well issues can be explained when something eventually goes wrong. 

Fiddler empowers your Data Science, Engineering, Trust & Safety, and Security teams to monitor, analyze, and protect LLM and ML applications.

Build Trust into AI with Fiddler

  • All-In-One AI Observability and Security Platform: A unified platform that brings together LLM and ML observability, Fiddler Trust Service, Guardrails, and contextual model analytics.
  • Actionable Diagnostics: Deep root cause analysis and actionable model insights for quick issue resolution and model improvement.
  • Built for the Enterprise and Government: Enterprise-grade scalability and stability to support secure LLM and ML deployments in SaaS and VPC environments, including AWS GovCloud for the government.
Fiddler's full stack AI Observability platform for generative AI and predictive models.
"One of the things that was appealing to IAS about Fiddler was its ability to customize the monitoring to specific model type, data volume and desired insights. Additionally, the dashboard views, automated alerting and ability to generate audit evidence also factored into the decision to work with Fiddler."
Kevin Alvero, Chief Compliance Officer, Integral Ad Science

Key Capabilities

Monitoring 

Monitor predictive models and LLMs in production and manage performance, correctness, and safety metrics at scale in a single pane of glass. From alerts to root cause analysis, pinpoint areas of model underperformance and minimize business impact. You can also find quick answers to the root cause and the “why” behind all issues. 

Plug Fiddler into your existing LLM and ML tech stacks for consolidated monitoring to: 

  • Gain operational efficiencies through faster time-to-market at scale.
  • Reduce costs by decreasing errors and the time required to resolve issues.
  • Foster responsible innovation by safeguarding LLM and ML applications and data.

Analytics 

Analytics must deliver actionable insights that power data-driven decisions. To improve predictions, market context and business alignment must be baked into modeling so results reflect the needs and challenges of your business. 

Use descriptive and prescriptive analytics from LLMs and ML models to make decisions so you can: 

  • Deploy higher ROI models to increase revenue. 
  • Align decisions to stay in lockstep with business needs. 
  • Respond quickly and refine models when market dynamics shift.

Security 

Safeguard AI applications with enterprise-grade security and low-latency guardrails. Fiddler enables secure deployment in SaaS, VPC, and air-gapped environments, preventing data leaks, prompt injection attacks, and jailbreak attempts while upholding trust and safety.

Proactively protect against security risks:

  • Prevent security threats like prompt injection and adversarial attacks.
  • Reduce risk exposure with compliance-driven monitoring and alerts.
  • Ensure data privacy with secure deployments in SaaS, VPC, and air-gapped environments.

LLM Use Cases

  • AI Chatbot Monitoring
  • Content Summarization
  • LLM Cost Management
  • Internal Copilot Monitoring
  • AI Governance
  • Risk Management
  • Compliance
  • Security

ML Use Cases

  • Anti-money Laundering
  • Fraud Detection
  • Credit Scoring Investment
  • Decision-Making
  • Underwriting
  • Churn Detection
  • AI Governance
  • Risk Management
  • Compliance
  • Security
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