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Defastra: Identity Verification and Fraud Prevention

Defastra helps businesses identify potentially fraudulent users by analyzing email and phone data. It is designed for security-sensitive teams that need to flag or block high-risk entries during user onboarding.

At a glance

Category
Security
Best for
Ecommerce Stores, Financial Services, Small Businesses, Mid-Market Companies
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Key use cases
User Onboarding Verification, Risk-Based Blocking, Contact Data Enrichment, Bulk List Analysis
Official website
defastra.com
Screenshot of Defastra website

Defastra is a security tool focused on identity verification through its Deep Email Check and Deep Phone Check products. It analyzes submitted contact details to identify fraud signals and synthetic identities.

The software provides a risk score from 0 to 100, categorized into four risk levels—low, medium, high, and extreme—to help operators decide whether to allow or block a user.

Users can perform checks via manual tools, batch processing, or an API. The system also supports data enrichment by gathering social and digital information associated with the phone number or email address.

Buyers should confirm if the API integration fits their existing technical stack and review the specific risk signal categories to ensure they align with their internal security policies.

Key Features

Fraud Analysis

Analyzes phone numbers and email addresses for fraud signals in real time.

Risk Scoring System

Assigns a score from 0 to 100 across four risk levels: low, medium, high, and extreme.

Risk and Trust Signals

Provides reports on specific patterns discovered during the check to show how a score was generated.

Data Enrichment

Gathers associated social and digital data for the submitted email or phone number.

Multiple Submission Methods

Supports manual checks, batch processing, and API access.

Use Cases

User Onboarding Verification

Checking new account sign-ups for fraud signals to identify potential synthetic identities.

Risk-Based Blocking

Using risk categories to help security-sensitive businesses block fraudulent email or phone entries.

Contact Data Enrichment

Gathering digital and social data associated with a phone number or email to support identity verification.

Bulk List Analysis

Using batch processing to analyze lists of phone numbers or emails for risk signals.

Best For

Ecommerce StoresFinancial ServicesSmall BusinessesMid-Market Companies

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

FAQ

How does Defastra determine the risk level of an email or phone number?

Defastra uses AI, ratio surveillance, and analysis of fraud schemes to identify risk and trust signals, which generate a score from 0 to 100.

What are the different risk levels in Defastra?

There are four levels: low (0), medium (1-20), high (21-40), and extreme (40-100), each with a recommendation for allowing or blocking the user.

Can Defastra be integrated into existing software?

Yes, Defastra provides an API for integration, as well as manual tools and batch processing options.

Source category: Security

Source subcategory: Identity Verification

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