惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

U
Unit 42
L
LangChain Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Y
Y Combinator Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
J
Java Code Geeks
有赞技术团队
有赞技术团队
B
Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
V
V2EX
Apple Machine Learning Research
Apple Machine Learning Research
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
WordPress大学
WordPress大学
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
阮一峰的网络日志
阮一峰的网络日志
The Cloudflare Blog
Martin Fowler
Martin Fowler
H
Hackread – Cybersecurity News, Data Breaches, AI and More
M
MIT News - Artificial intelligence
Recent Announcements
Recent Announcements
D
DataBreaches.Net
The GitHub Blog
The GitHub Blog
博客园 - Franky
小众软件
小众软件

Latest blog posts

Finding Solutions for Data Bias | Demyst Using Snowflake for External Data Deployment | Demyst 5 Hurdles Facing New Financial Products | Demyst The What, Why, and How of External Data | Demyst Fast Company Recognizes How External Data Can Change the World | Demyst 5 Checks for Flagging Fraud Risk | Demyst External Data’s Tipping Point | Demyst OpenCorporates Spotlight: Data Transparency Deep Dive | Demyst Vendor Due Diligence for Data Privacy | Demyst Looking Ahead: High Expectations, Low Margins for Error | Demyst How Lenders and Insurers Can Use Geolocation Data | Demyst Assessing Driver Risk Without Using Credit Scores | Demyst Digital Footprints for ID Verification | Demyst Layered Solutions to Fight SMB Lending Fraud | Demyst Global IDV Workflows Demand Multi-Source Solutions | Demyst Fintechs: Drifting into Compliance Failure? | Demyst Penalties Mount for Marketers Using Toxic Data | Demyst Assess Insurance Risk with Property Data | Demyst Application Prefill: A Digital Reality | Demyst Demand for ESG Data is Accelerating | Demyst Demyst’s Entity Resolution: Multi-Source Recipes | Demyst Verifying Phone Numbers Is Key for the BNPL Vertical | Demyst Game Changer: Demyst’s Entity Resolution Tech | Demyst Social Inflation Raises Courtroom Risks | Demyst Expecting the Unexpected | Demyst Meet Demyst at AWS re:Invent 2021 | Demyst External Data Addresses Crypto Regulations | Demyst Supply Chain Risk Management | Demyst Collaboration with AWS Data Exchange | Demyst Improving Trust on Managed Platforms | Demyst
Mitigating Fraud with Social Media Data | Demyst
The Demyst Team · 2021-11-03 · via Latest blog posts

It’s possible for financial institutions (FIs) to cross reference information provided on loan or credit card applications with social media data to flag for disparities. 

But just because it’s possible doesn’t mean it’s viable. Manually verifying an applicant’s: profession, employer, tenure, education status, and other pertinent attributes, takes far too much time. 

Enterprises that receive thousands of applications every day simply cannot afford the resources required to manually validate an applicant’s provided information against social media data. The viability of social media data as a corroborative tool demands automation.

The Whole is Greater than the Sum of its Parts

The Demyst platform provides access to thousands of data products through a single API. In addition to crafting personalized solutions, Demyst also provides plug-and-play API recipes that combine data from multiple sources.  

Many these sources provide mutually exclusive attributes. For example: PIPL returns pertinent information like age, education level, online usernames, and social media urls; while People Data Labs provides industry, salary, and years of experience; and Full Contact delivers demographics, affinities, and lifestyle attributes.

While data from each provider is uniquely valuable, leveraging the data from all three sources allows for deeper insights via the analysis of a more robust dataset. To that end, Demyst combined the attributes from the three sources listed above in the recipe for Social Media Validation for US KYC and Marketing. This API recipe identifies and flags any disparities between an applicant’s social media data and their self provided information. 

Due Diligence Next Steps

Verifying application information by checking against social media data is a basic step in the due diligence process. From there, organizations can utilize more of Demyst’s plug-and-play APIs to determine the validity of an applicant’s email address and or verify their phone number. They may also wish to determine whether said applicant is on any anti-money-laundering (AML) watchlists. There are an abundance of APIs in the Demyst toolbox that can be used to mitigate fraud.  

Sign up for a free Demyst Account and discover the benefits of integrating data from multiple sources through a single API.