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Fiddler

AI Observability · Evaluated by Moneda AI

Enterprises needing comprehensive AI observability, explainability, and governance with flexible deployment options.

CategoryAI Observability

FromCustom pricing

Best forEnterprises needing comprehensive AI observability, explainability, and governance with flexible deployment options.

Wins0 of 4

What it’s for

  • Model monitoring and explainability
  • Alerting for drift and data quality issues
  • Governance and trust reporting

Pricing

  • Custom pricing

Job fit, data protection, and security

Sourced entity notes for buyers who need more than a feature list. Claims link to vendor docs — re-check before regulated or privileged use.

Deploymentcloud · self-host · hybrid · air-gap

Data protection

Training on customer data
Fiddler states that they do not train models on customer data, as per their security overview.Sourcechecked 31 Aug 2026
Retention
Customer data is retained in accordance with data retention policies agreed upon with customers.Sourcechecked 31 Aug 2026
Residency
Customer data residency can be configured based on deployment options (cloud, VPC, on-prem).Sourcechecked 31 Aug 2026

Security

Certifications / controlsSOC 2 Type II · HIPAAchecked 31 Aug 2026

Would not choose if

  • Requires granular control over subprocessor agreements not publicly documented.
  • Needs specific, detailed documentation of all third-party services for strict compliance.

Where Fiddler appears — and how it did

Fiddler focuses on monitoring, explainability, and trust controls for teams deploying machine learning in regulated or high-risk workflows.