New York Tech Media
  • News
  • FinTech
  • AI & Robotics
  • Cybersecurity
  • Startups & Leaders
  • Venture Capital
No Result
View All Result
  • News
  • FinTech
  • AI & Robotics
  • Cybersecurity
  • Startups & Leaders
  • Venture Capital
No Result
View All Result
New York Tech Media
No Result
View All Result
Home Cybersecurity

Why cybersecurity and anti-fraud teams need to collaborate

New York Tech Editorial Team by New York Tech Editorial Team
February 8, 2022
in Cybersecurity
0
Why cybersecurity and anti-fraud teams need to collaborate
Share on FacebookShare on Twitter

Over the past couple of years, there has been unprecedented change in the world of financial services. The shift to online banking has accelerated the need for digital transformation. As a result, financial institutions are adopting a range of innovative technological solutions to ensure business continuity. But while the world’s leading financial services evolved, so did the criminals who use increasingly sophisticated methods to commit fraud.

financial fraud

Synthetic identity fraud

One emergent form of fraud – and one of the fastest growing crimes in the U.S. – is the creation of fake identities for massive thefts. In synthetic identity fraud (SIF), criminals combine information found on the dark web (account numbers, social security numbers), social media (names, identifying information) and other sources to generate phony identities.

These profiles are then used to take out loans and build increasingly larger lines of credit. They patiently make small purchases, pay bills, and improve their credit rating until they are able to secure more substantial credit card limits, personal and vehicle loans. Once they have maximized their credit, they bust out, never to be seen again. A recent FiVerity report has shown that the average SIF theft is $92,000 and in 2020 alone, SIF cost U.S. financial institutions $20 billion.

Understanding the situation

Successful cyber fraudsters have an intimate understanding of the financial and cybersecurity systems that are tasked with detecting them. They know that there is minimal collaboration between financial institutions or even within an organization itself. Because of this lack of communication, once criminals have a successful synthetic identity, they can utilize it in multiple locations.

The need for internal collaboration

For years, many of the world’s largest financial institutions treated financial fraud and cybersecurity as separate departments with differing roles, responsibilities, and threats.

Today’s criminals have identified this vulnerability and now combine tactics that would typically be handled by the different departments. Criminals will leverage AI to perfect fraudulent credit applications while leveraging cybersecurity tactics to conduct fraud at scale.

To combat cyber fraud, financial institutions need to take a more considered approach than simply saying, “The two of you need to talk.” Criminals have done their homework and understand the weaknesses of current detection systems.

Internal cyber and anti-fraud teams need greater education on the problem. They need to understand their adversaries – from the criminal organizations that use automated tools to harvest millions of dollars from SIF accounts, to the small-time criminals who think they’re smarter than the system.

Once they have a clear understanding of the types of criminals and attacks that they’re facing, they need to reassess their approach to identifying SIF. What does each department bring to the table? Where is there duplication of effort that can be eliminated? Where are the holes that are being taken advantage of? Is it time to combine their departments into one macro department that can handle all threats together?

These are the initial questions that need to be answered if financial institutions are to stand a chance of preventing cyber fraud.

New approaches

As cybersecurity and anti-fraud departments come together, part of the thinking they must bring to the table should include ways to collaborate with their peers outside of their organization. One of the common characteristics of cyberSIF fraudsters is that they reuse the same identity across multiple banks. That is a loophole that can easily be closed through communication and collaboration with other financial institutions, regulators, and law enforcement.

In the past, there were concerns about confidentiality and privacy that prevented any attempts to collaborate. However, the growth of cyber fraud and the amount of money that’s being lost is forcing banks and financial institutions to re-evaluate collaboration outside of their walls. There are new technologies, solutions, and organizations popping up that can help those ready to take the next step.

It’s time to act

It’s time for the industry to take cyber fraud seriously and stop pretending that the old, siloed methods of combating fraud are still relevant. Attackers know the limitations of these approaches and are more than willing to exploit every advantage the current system gives them. Collaboration – both internally and externally – is the only way we can hope to stop cyber fraud.

Credit: Source link

Previous Post

Softbank backed startup to offer retail crypto trading

Next Post

Disaster recovery is critical for business continuity

New York Tech Editorial Team

New York Tech Editorial Team

New York Tech Media is a leading news publication that aims to provide the latest tech news, fintech, AI & robotics, cybersecurity, startups & leaders, venture capital, and much more!

Next Post
Disaster recovery is critical for business continuity

Disaster recovery is critical for business continuity

  • Trending
  • Comments
  • Latest
Meet the Top 10 K-Pop Artists Taking Over 2024

Meet the Top 10 K-Pop Artists Taking Over 2024

March 17, 2024
Panther for AWS allows security teams to monitor their AWS infrastructure in real-time

Many businesses lack a formal ransomware plan

March 29, 2022
Zach Mulcahey, 25 | Cover Story | Style Weekly

Zach Mulcahey, 25 | Cover Story | Style Weekly

March 29, 2022
How To Pitch The Investor: Ronen Menipaz, Founder of M51

How To Pitch The Investor: Ronen Menipaz, Founder of M51

March 29, 2022
10 Raunchy Movies on Netflix You Won’t Regret Watching

10 Raunchy Movies on Netflix You Won’t Regret Watching

May 20, 2024
Japanese Space Industry Startup “Synspective” Raises US $100 Million in Funding

Japanese Space Industry Startup “Synspective” Raises US $100 Million in Funding

March 29, 2022
Startups On Demand: renovai is the Netflix of Online Shopping

Startups On Demand: renovai is the Netflix of Online Shopping

2
Robot Company Offers $200K for Right to Use One Applicant’s Face and Voice ‘Forever’

Robot Company Offers $200K for Right to Use One Applicant’s Face and Voice ‘Forever’

1
Menashe Shani Accessibility High Tech on the low

Revolutionizing Accessibility: The Story of Purple Lens

1

Netgear announces a $1,500 Wi-Fi 6E mesh router

0
These apps let you customize Windows 11 to bring the taskbar back to life

These apps let you customize Windows 11 to bring the taskbar back to life

0
This bipedal robot uses propeller arms to slackline and skateboard

This bipedal robot uses propeller arms to slackline and skateboard

0
laptop on glass table

Automat-it Cuts Deployment Friction as Monce Scales AI Order Processing on AWS

April 13, 2026
Lee's Famous Recipe Chicken

Why Lee’s Famous Recipe Chicken Is Betting on Hi Auto to Quietly Rewire the Drive-Thru

April 9, 2026
computer generated image of letters

San Francisco Tribune Lists 11 HumanX Startups Moving AI Closer to the Operating Core

April 8, 2026
Impala CEO and Highrise AI CEO

The Industrialization of AI Infrastructure: What Impala and Highrise AI Reveal About the Next Scaling Frontier

April 7, 2026
Employee Time Tracking

What is an Employee Time Tracking Solution? A Definite Guide for 2026

March 31, 2026
Voltify founders

Voltify Raises $30 Million Seed Round as It Challenges $1 Trillion Rail Electrification Model

March 31, 2026

Recommended

laptop on glass table

Automat-it Cuts Deployment Friction as Monce Scales AI Order Processing on AWS

April 13, 2026
Lee's Famous Recipe Chicken

Why Lee’s Famous Recipe Chicken Is Betting on Hi Auto to Quietly Rewire the Drive-Thru

April 9, 2026
computer generated image of letters

San Francisco Tribune Lists 11 HumanX Startups Moving AI Closer to the Operating Core

April 8, 2026
Impala CEO and Highrise AI CEO

The Industrialization of AI Infrastructure: What Impala and Highrise AI Reveal About the Next Scaling Frontier

April 7, 2026

Categories

  • AI & Robotics
  • Benzinga
  • Cybersecurity
  • FinTech
  • New York Tech
  • News
  • Startups & Leaders
  • Venture Capital

Tags

AI AI QSRs Allseated Automat-it AWS B2B marketing Business CISO CISO Whisperer Collaborations Companies To Watch cryptocurrency Cybersecurity Entrepreneur Fetcherr Finance FINQ Fintech Funding Announcement hi-tech Hi Auto Impala Investing Investors investorsummit Israel israelitech Leaders LinkedIn Leaders Metaverse Mindset Minnesota omri hurwitz PointFive PR QSR Real Estate start- up startupnation Startups Startups On Demand Tech Tech leaders Unlimited Robotics VC
  • Contact Us
  • Privacy Policy
  • Terms and conditions

© 2024 All Rights Reserved - New York Tech Media

No Result
View All Result
  • News
  • FinTech
  • AI & Robotics
  • Cybersecurity
  • Startups & Leaders
  • Venture Capital

© 2024 All Rights Reserved - New York Tech Media