What is Fiddler AI?
Fiddler AI is an enterprise AI control plane for monitoring, evaluating, governing, and enforcing policies for AI agents and predictive models. It provides centralized visibility and runtime controls across development and production environments.
Key Capabilities
- AI observability: Tracks agent activity, model performance, token use, cost, and outcomes across users and teams.
- Continuous evaluations: Evaluates AI systems with predefined and custom metrics to measure quality, safety, and operational performance.
- Runtime guardrails: Applies inline controls to requests and responses, including detection and redaction of personally identifiable information (PII), protected health information (PHI), and secrets.
- Security enforcement: Detects risks such as prompt injection, jailbreak attempts, toxic content, and hallucinations before agent outputs reach users or downstream systems.
- Governance and auditability: Records enforcement decisions, triggering actors, and outcomes to support audit, risk, and compliance processes.
- Model flexibility: Supports first- and third-party agents and integrates with multiple model, cloud, and agent-framework providers.
Audience & Use Cases
- Audience: AI and software engineers, data scientists, platform and DevOps teams, plus security, risk, and compliance teams.
- Use cases: Monitoring enterprise AI agents, enforcing data-protection policies, evaluating model behavior, controlling AI costs, and maintaining audit evidence for regulated deployments.
Technical Specifications
- Deployment options: SaaS, virtual private cloud (VPC), on-premises, and AWS GovCloud.
- Enforcement model: Uses in-environment Fiddler Centor Models for guardrails and evaluations, reducing reliance on external LLM API calls.
Categories & Use Cases
Technical Details
| Mobile Application | No |
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FAQs
What is Fiddler AI?
Fiddler AI is an enterprise AI control plane for monitoring, evaluating, governing, and enforcing policies for AI agents and predictive models. It provides centralized visibility and runtime controls across development and production environments.