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A dark archive of vendor dossiers with one folder glowing amber — third-party risk
GRC SUITEAGENT-NATIVE

Third-party risk, continuously scored.

Manage the full vendor lifecycle — 218 vendors, 310 proposals with criticality and risk scores — through onboarding, periodic assessments and an attention-needed queue updated automatically by AI.

What is Risk Assessment?

Moderor Risk Assessment is a vendor and third-party risk management product. It scores vendor proposals by criticality and risk, runs onboarding pipelines and periodic assessments, and maintains an AI-updated attention queue.

Observed In Production
  • 218 VENDORS UNDER REVIEW
  • 310 PROPOSALS SCORED
  • AI-UPDATED ATTENTION QUEUE
  • PERIODIC ASSESSMENT PIPELINE
demo.moderor.ai
Risk Assessment dashboard in Moderor.ai

Capabilities

/ FEATURES
Ø1

Vendor lifecycle pipeline

From proposal to onboarding to periodic reassessment — every vendor tracked with criticality and risk scores.

Ø2

AI attention queue

An attention-needed queue is updated automatically by AI as risk signals change, so reviewers start with what matters.

Ø3

Assessment scheduling

Periodic assessments and call booking keep reassessment cadence enforced rather than aspirational.

Ø4

Risk scoring

310 proposals carry criticality and risk scores that feed dashboards and downstream GRC controls.

By the numbers

/ PROOF
0
Vendors managed
0
Proposals scored
0
Score dimensions
0%
Queue AI-maintained

Questions, answered

FAQ
What does Moderor Risk Assessment cover?

It covers the third-party risk lifecycle: vendor proposals with criticality and risk scoring, onboarding pipelines, periodic assessments, call booking and an attention-needed queue that AI keeps current.

How does the AI attention queue work?

Agents watch vendor risk signals and automatically surface vendors needing review, so analysts triage a ranked queue instead of scanning all 218 vendors.

Does it integrate with the rest of GRC?

Yes — vendor risk feeds the same approval and action pattern as CCM, and vendor-access controls appear in the shared audit control library.

See it on your data.

Connect a source over MCP, point an agent at a control set, and watch the first findings arrive — with you in command.