Defastra is a fraud prevention platform that utilizes real-time data enrichment and deep anti-fraud checks to assess the risk associated with phone numbers and email addresses. By providing detailed risk scores and reports, it enables high-risk businesses to identify and mitigate fraudulent activities effectively.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
High-risk businesses face challenges in accurately assessing the legitimacy of phone numbers and email addresses, making them vulnerable to fraudulent activities. Traditional fraud prevention methods often lack real-time data enrichment and comprehensive anti-fraud checks, resulting in ineffective risk mitigation.
Solution
Defastra is a fraud prevention platform that employs real-time data enrichment and deep anti-fraud checks to evaluate the risk associated with phone numbers and email addresses. By submitting a phone number or email address through Defastra's manual tools, batch processing, or API, users gain access to real-time social and digital data. Defastra's service conducts a range of deep anti-fraud checks, returning gathered data along with a risk score, risk level, and a detailed fraud report that highlights discovered risk and trust signals. This enables businesses to identify and mitigate fraudulent activities effectively.
Target Audience
Defastra primarily serves high-risk businesses that require robust fraud prevention measures to protect against fraudulent activities associated with phone numbers and email addresses.
Features
- Real-time data enrichment using social and digital data sources
- Deep anti-fraud checks for phone numbers and email addresses
- Risk scoring system ranging from 0 (safe) to 100 (fraudulent)
- Four risk levels: low, medium, high, and extreme, with corresponding recommendations
- Detailed fraud reports outlining risk and trust signals uncovered
- Transparent breakdown of how the risk score was generated
- API access for automated fraud checks
- Batch processing capabilities for handling large volumes of data