Fiddler Trust Service for AI Observability and Security
AI Observability and Security is the foundation which gives enterprises the confidence to ship more AI agents, and generative and predictive applications into production safely and responsibly.
Integral to the platform, the Fiddler Trust Service runs a series of purpose-built, “batteries-included” Fiddler Trust Models at runtime to evaluate agent and LLM inputs and outputs, enabling tests and experiments in pre-production, monitoring in production, and the industry’s fastest guardrails. The Fiddler Trust Service can be deployed in cloud or VPC environments to maintain strict data control and safeguard agents and LLM applications. Because out-of-the-box and custom enrichments stay within your environment, there’s no risk of data exposure and no Trust Tax from external API calls.

Fiddler Trust Models Deliver
Why Enterprise Leaders Choose the Fiddler Trust Service for Agentic and LLM Observability, and Guardrails
- Fastest: With a <100ms latency at runtime, the models are optimized for rapid scoring, monitoring, and guardrails, ensuring enterprises can quickly detect and resolve agentic and LLM issues.
- Cost-Effective: Trust Models eliminate the Trust Tax from external API calls while optimizing for efficiency, accuracy, and minimal computational overhead.
- Secure: Fiddler can be deployed in cloud or VPC environments, maintaining compliance and protecting sensitive data.
- Scalable: Built to support high-volume enterprise workloads, Fiddler Trust Service handles over 5 million requests per day out-of-the-box, enabling seamless enterprise deployments at scale.

Fiddler Trust Service: Quality and Moderation Controls for Agents and LLM Applications
The Fiddler Trust Service is an enterprise-grade solution that enables efficient use of computational resources and helps control costs compared to other LLM-as-a-judge offerings.
It combines two main scoring approaches: Fiddler Trust Models and external judges. Together, they deliver over 80 LLM metrics out-of-the box and custom metrics, powering agentic observability, LLM observability, and guardrails for accurate, high-performing, and secure enterprise deployments.

Fiddler Trust Models
In-house built, "batteries-included" trust models for fast, cost-effective, accurate and secure evaluation deployed in your environment.
The Fiddler Trust Models are specialized, task-specific models that evaluate agent and LLM prompts and responses at runtime for hallucination, toxicity, jailbreaks, PII/PHI exposure, and other critical risks.Compared to closed source foundational models, they provide low latency, cost effective, and secure scoring for a broad range of LLM metrics.
Enterprises can also create their own metrics by submitting prompts to the Fiddler-hosted Llama 3.1 8B model to address domain-specific use cases and specialized requirements. This fully-managed solution handles 300K+ daily events without the burden of infrastructure management.
Pay $0 Trust Tax with Fiddler

Fast, Cost-Effective, and Secure Monitoring of 80+ LLM Metrics

Fiddler Guardrails
LLM safety mechanism that moderates risky prompts and responses in real-time before they cause damage.
At <100ms latency, Fiddler Guardrails is the fastest in the industry. It leverages the scoring of the Fiddler Trust Models to evaluate prompts and responses and moderate harmful outputs for hallucination, toxicity, and jailbreaks. Simply specify your desired metric thresholds and let Fiddler Guardrails handle the enforcement.
The Fiddler Trust Service Excels at Popular and Niche Agentic and Generative AI Use Cases
- AI Chatbots: Boost investor value and confidence with accurate financial advice and recommendations from AI chatbots.
- Internal Copilot Applications: Enhance employee productivity and boost their confidence in decision-making.
- Compliance and Risk Management: Detect adversarial attacks and data leakage.
- Content Summarization: Deliver highly accurate summaries for your users.
- LLM Cost Management: Increase LLM operational efficiency gains.
- Agentic Systems: Orchestrate workflows with embedded LLM and ML models ensuring accurate, safe task completion