We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Personal Data Protection: Identity Theft Is on the Rise
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Security > Personal Data Protection: Identity Theft Is on the Rise
Security

Personal Data Protection: Identity Theft Is on the Rise

David Balaban
David Balaban
4 Min Read
Personal Data Protection: Identity Theft Is on the Rise
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

In 2015, varying with the type of identity theft, identity thieves harmed eighteen million people only in the USA. That’s approximately twofold increase compared to 2014.

The shift from the stripe to chip cards has encouraged criminals to switch to scientifically advanced methods of operation. For crooks, the Social Security Number is the land of milk and honey. ID thieves use it to create new accounts in the dupes’ names, and then go on splashing out. This type of ID theft is known as new-account fraud.

It may continue for weeks, months, and even years before the target person notices it. Often victims never discover these frauds. Such scams may even go by the finance institutions like banks, insurance companies, etc.

A popular fraud is for the criminal to set up a false persona, which is partially fake but incorporates some real but stolen elements. So there is not just a stolen identity but a fictive, make-believe personality made of your Social Security number and somebody else’s residence address and real name. Such case is referred to as synthetic ID. Banks may allow it to slip by.

More Read

Best Practice Linux Guide: Your Cloud Strategy
Best Practice Linux Guide: Your Cloud Strategy
The Four IT Security Principles: A Practical Guide to Improving Information Security
Massive DDoS attack spotlights internet choke point
The Importance of Maintaining Consistency in Your Small Business’s Cybersecurity Protocols
Your Business’ Network Needs IPS and IDS – Here’s Why

Synthetic ID scams or simply ID exploits, happen when the thief employs a stolen real person’s identity as a basis for blending with portions if fake personal info to mislead identification.

There are also cases of quick synthetics when personal info fragments belonging to several people are put together into just one new and fake identity.

How can banking institutions stop it?

  • Study phone account data to determine if there’s a typical model of billing specifics and details. A lot of crooks use disposable, prepaid VoIP telephones.
  • Email historical data is vital to take a look at. Old account with a brand new email address is quite suspicious and usually signifies fraud.
  • One more red flag is if the phone number does not correlate to the email address.

What should credit card companies do?

  • Check their client’s identity more extensively and in every detail.
  • A red flag should be discovering the similar home address for a number of different people.
  • Perform repeatable scoring procedures to measure the applicant’s risk score. Do it several times within a week after application to make sure there are no changes. Change is a signifies fraud.

What can each of us do?

With the synthetic identity theft when a criminal takes advantage of your SSN and not your real name, you can never find out about such crime. It indicates such fraud in fact may not harm you at all. However:

  • Inspect your credit report as often as possible; once a month will be great.
  • Think of spending money on ID theft protection tools and services. ID theft protection scans dark markets and new credit lines for your social security number.
  • Initiate a credit freeze. It literally freezes your credit and stops all news account crimes.
  • Develop healthy online habits, don’t click suspicious links that may lead to malware, always update your software.

The most important thing is that credit card issuers and banks should use a multi-layer strategy in verifying and approving applicants. The more layers, the tougher it is going to be for a criminal to pass through. Three, four screening layers are much better than one or two layers.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article examines AI agents that escalate from legitimate data retrieval to attempted intrusions
OpenAI’s Government Website Incidents Raise a Hard Question for AI Agents: When Should They Stop?
Artificial Intelligence News Security
Flat editorial illustration: The article's core relationship is the alignment between customer behavioral data (visit frequency,
Data-Driven Loyalty: How Restaurants Use Behavioral Analytics to Optimize Revenue
Exclusive
Flat editorial illustration: The article's core relationship is that reliable eCommerce attribution depends on a unified, well-st
How eCommerce Data Teams Can Build Attribution That Holds Up
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the contrast between fragmented inherited data infrastructure (wh
Data Stack Consolidation as a Data Quality and Governance Strategy for Mid-Market Teams
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Big Data, Small Details: How Metadata Creates Security Risks
Big DataSecurity

Big Data, Small Details: How Metadata Creates Security Risks

5 Min Read
A Visualization of the World's Largest Data Breaches [INFOGRAPHIC]
Big DataData VisualizationRisk ManagementSecurity

A Visualization of the World’s Largest Data Breaches [INFOGRAPHIC]

1 Min Read
3 Ways Data Has Helped Improve Safety in the Workplace
Big DataSecurity

3 Ways Data Has Helped Improve Safety in the Workplace

6 Min Read
Illustration of Zero Trust access control: a person passes through three sequential identity checkpoints toward an open vault, while a separate unverified path leads to a closed gate
Security

A Guide to Zero Trust for Data Protection

13 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?