AI TOOL PROFILE
Defastra: Identity Verification and Fraud Prevention
- Security
- Identity Verification
- 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.
At a glance
- Best for
- Ecommerce Stores, Financial Services, Small Businesses, Mid-Market Companies
- Key use cases
- User Onboarding Verification, Risk-Based Blocking, Contact Data Enrichment, Bulk List Analysis
- Official website
- Visit Defastra official website
How AI is used
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.
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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