Censinet Risk Assessor Agent (Assessor Agent for Supply Chain and Vendor Risk, Censinet GRC AI) vs Zoven AI

Censinet Risk Assessor Agent (Assessor Agent for Supply Chain and Vendor Risk, Censinet GRC AI) (Censinet) and Zoven AI (Zoven AI (Zivy Applications India Private Limited)) are both listed in the Risk category of Agent Index. They share no framework tags in our dataset.

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Field Censinet Risk Assessor Agent (Assessor Agent for Supply Chain and Vendor Risk, Censinet GRC AI)Zoven AI
Vendor CensinetZoven AI (Zivy Applications India Private Limited)
HQ United States · North AmericaIndia · India
Primary category RiskRisk
Also listed in RiskRisk, Compliance
Summary Healthcare third-party risk agent in Censinet RiskOps that reviews vendor questionnaire responses and supporting documents (such as SOC 2 and penetration-test reports), captures integration details from requests, identifies findings and drafts assessment reports and corrective action plans for the risk assessor to validate.Bengaluru-built fraud, AML and KYC/KYB platform where AI agents run investigation SOPs case by case and draft cited verdicts for analysts to decide.
Framework tags (Agent Index) ——
Frameworks (vendor-claimed) ——
Capabilities / tasks vendor risk, risk assessment, questionnaire automation, evidence collectionfraud detection, aml, kyc, case investigation
Pricing (as published) Not publishedNot published
Pricing model quotequote
Primary source https://www.censinet.com/blog/censinet-unveils-censinet-grc-ai-tm-vision-and-delivers-major-platform-innovations-for-healthcare-risk-management-at-vive-2026https://www.zoven.ai/
Last checked 2026-10-192026-10-18
Official site https://censinet.com/capabilities/third-party-riskhttps://www.zoven.ai/
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

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