Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Agent RAI is a cloud-native platform for Responsible AI (RAI) governance, built on Microsoft Azure to help enterprises enforce fairness, explainability, transparency, and accountability across the AI/ML lifecycle. It ensures continuous monitoring, real-time risk mitigation, and compliance at scale—empowering organizations to build ethical, trustworthy AI systems.
Key Benefits
Show the rest of the publisher’s description (24 more lines)
- Always-On RAI Monitoring: Continuously audits models, datasets, and pipelines for bias, drift, and explainability.
- Automated Policy Enforcement: Enforces governance rules across your AI/ML workflows.
- Integrated Mitigation Workflows: Automatically triggers corrective actions via Azure Functions and Logic Apps.
- Compliance-Ready Templates: Out-of-the-box support for Microsoft RAI guidelines, EU AI Act, and GDPR.
- Unified Dashboards & Alerts: Real-time visibility for stakeholders to act on issues as they arise.
How It Works
- Agent RAI integrates directly into Azure ML, Data Lake, and DevOps pipelines. It leverages autonomous agents to continuously audit, monitor, and govern your AI systems.
*
These agents detect and mitigate bias, generate explainability reports, enforce custom policies, and support human-in-loop reviews when needed.
- This enables a streamlined and scalable approach to Responsible AI—from development through deployment and monitoring.
Business Impact
- Trustworthy AI at Scale: Maintain compliance and ethical standards without slowing innovation.
- Reduced Risk Exposure: Minimize regulatory, reputational, and operational risks.
- Audit-Ready: Instantly generate documentation to support internal and external audits.
- Cross-Team Collaboration: Provides visibility for data scientists, compliance officers, and product leaders.
Ideal For
- AI/ML Teams
- Compliance & Risk Officers
- Data Scientists
- Product Managers
- Audit & Governance Leaders
Industry Fit
Perfect for regulated and high-impact sectors including:
Financial Services, Healthcare, Public Sector, Manufacturing, and Technology—where AI must be not only powerful, but provably responsible.
Preview
4 images
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.