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Auto Insurance Claims Fraud Prediction

Mphasis · Intelligence & Research

Azure ApplicationsNo attestation published

Certification per Microsoft Marketplace.

Fraud PredictionAutomotive ClaimsInsurance Claims
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 8 captures on record

User ratingNot rated0 reviews on the listing
Runs onAzure ApplicationsAzure application
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

Fraudulent claims are a major challenge faced by insurance providers. Using manual methods are time consuming and costly. This solution helps insurance providers predict whether a claim is fraudulent or not to support the decision-making process. This solution considers various policy, demographic, and incident details related to the claim to return a probability score.

  • This solution provides a cost-efficient way to predict fraudulent auto insurance claims.
  • This solution uses various policy, demographic, and incident details related to the claim to return a probability score.
  • Mphasis HyperGraf is an omni-channel customer 360 analytics solution. Need customized Deep Learning/NLP solutions? Get in touch!

Preview

3 images
Auto Insurance Claims Fraud Prediction preview 1Auto Insurance Claims Fraud Prediction preview 2Auto Insurance Claims Fraud Prediction preview 3

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

Government
  • 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

CompanyMphasis LimitedAutomated
HQIndiaAutomated
IndustryTechnologyAutomated
Websitehttps://www.mphasis.com/home.html

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

1 link
Supportwww.mphasis.comSource

Linked repositories

RepositoriesUnknownUnknown

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.

Pricing
Unknown
Not stated
Delivery
Azure application
https://www.mphasis.com/home/corporate/contact-us.html
Open the source listing ↗

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.