Fiddler for AI Governance, Risk Management, and Compliance (GRC)

Centralized control and accountability for Enterprise AI.

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Trusted by Industry Leaders and Developers

Enterprise Oversight and Compliance for Agents and Predictive Applications

As AI advances, regulations such as SR 11-7, HIPAA, and NAIC, and policies such as the EU AI Act, the AI Bill of Rights, OMB M-26-04, and the CA AI Bills continue to emerge, enforcing governance, risk, and compliance standards(GRC). These regulations aim to increase trust and transparency in AI systems and protect consumers from harmful or biased outcomes. By implementing unified observability, guardrails, and governance, enterprises can deploy agents and predictive applications at scale with complete audit trails that meet evolving regulatory requirements.

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, IAS

Enterprises Trust Fiddler for GRC

The Fiddler AI Observability and Security platform provides centralized governance and oversight for agents and predictive models across the enterprise, recording every agent behavior, action, model decision, and performance metric to generate the audit evidence and comprehensive audit trails needed to meet evolving regulatory requirements.

Fiddler GenAI Dashboard for an agentic chatbot showing application traffic summary, filter activity by span types and groups bar chart, answer faithfulness of chatbot assistant bar graph, and prompt safety for inputs line graph with various safety dimension scores.

AI Transparency, Audit Trails, and Documentation

Generate comprehensive audit trails that maintain complete accountability across every decision, action, evaluation, and policy outcome.

Provide audit evidence aligned with enterprise governance and regulatory review requirements (GDPR, HIPAA, NAIC, SR 11-7)
Maintain comprehensive documentation that enhances accountability and transparency across all AI deployments
Support compliance with deep diagnostics that reveal root causes of agent failures and model degradation

Learn how Integral Ad Science scales transparent and compliant AI products using Fiddler.

AI Risk Identification and Mitigation

Proactively assess and mitigate risks to prevent negative impacts on end-users and the enterprise.

Build a robust model risk management (MRM) framework with greater model transparency to meet periodic reviews, including those by the Federal Reserve and OCC’s SR 11-7 guidelines
Detect and mitigate risks across agents and predictive models; toxic outputs, PII/PHI leakage, drift, bias, privacy breaches, and unfair outcomes
Enforce policies, enterprise rules, and approval workflows with guardrails, and use real-time alerts to trigger immediate action when issues are identified

Learn how to create custom reports for MRM and compliance reviews in Fiddler.

Fiddler dashboard with four charts showing credit approval fairness metrics segmented by race and gender.

A multi-colored bar chart showing disparate impact ratios, with categories for African American female and male, Asian female and male, and Pacific Islander female and male compared to Caucasians.

Ethical and Responsible AI Practices

Enforce ethical AI practices that deliver transparent, trustworthy, and equitable outcomes.

Implement human-in-the-loop approvals for sensitive or high-risk decisions
Prevent bias and unfair outcomes across protected attributes to minimize compliance challenges, legal risks, and reputation damage
Intervene, pause, reroute, or escalate actions when agent behavior or model predictions deviate from ethical standards

Explore how Fiddler tracks fairness and bias in agents and predictive applications.