Social Engineering & Scams Prevention

Become a bank people trust—use advanced behavioral profiling technology to keep them safe from rampant scams



Modern fraudsters are smart and creative in developing new ways to run their scams. Beyond their technical proves (in creating fake websites, bots and malware) fraudsters are well versed in hacking the weakest link of them all—the users themselves.

Scammers are thriving these days—when the pandemic is making people edgy, public user data is abundant, and many different groups are trading Personal Identifiable Information (PII) on the Dark web.

The fraudsters creatively use the available information to relate to the victim and social engineer their way to the most critical data and access. Phishing, vishing (RAT, remote support scams) and SIM Swap scams heavily rely both on technical skills, and user data and trust to be effective. At the same time, Authorized Push Payments frauds are pure social engineering where the fraudsters manipulate the users to send authorized transactions themselves.

In the digital-first businesses, such are those in the financial services, preventing social engineering scams is critical for business success and user satisfaction.



Successfully solving social engineering scams build trusted and better relationships with the customers.

Aside from the traditional cybersecurity solutions and educational tools, banks today can use advanced customer analytics and behavioral biometrics technologies to build digital identities which are almost impossible to hack and misuse.


The ThreatMark Solution

ThreatMark Anti-Fraud Suite (AFS) processes a comprehensive set of data inputs to understand subtle differences in users behavior continuously validate user’s identity & their intentions while protecting their most valuable assets.

ThreatMark’s trusted profile, based on deep behavior profiling, allows banks to tap into the behavioral vectors that can successfully prevent social engineering scams:

  • Specific User Behavior – that maps the specific behavior of the user so the anomalies can be easily spotted
  • Known Good Behavior – which includes known behaviors that represent legitimate users
  • Known Malicious Behavior –always updated pool of threats and malicious (fraudulent) behaviors which are prevalent in the industry

Major banks use ThreatMark’s deep behavioral profiling engine to analyze vast numbers of user-specific data & behavioral traits to precisely identify legitimate users and block fraudsters in real-time.

For banks and their users, ThreatMark enables a seamless digital experience that does not require additional authentication nor rely on simple transaction monitoring.

How we helped our customers


How our AI Powered Authentication enhanced security & User Experience for Slovenská sporiteľňa [ERSTE Group]


Related Resources

ThreatMark AFS Datasheet

Digest the core details of our technology and review our unique approach in this  datasheet. 

ThreatMark's Fraud Detection Approach

In this datasheet review the details on how ThreatMark detects frauds across digital channels. 

ThreatMark SOC Services

Read the details about our ThreatMark’s SOC services and how the team can help you build a more secured online banking. 

Top 3 Most Damaging Frauds in Online Banking Webinar

In this webinar our analysts dissect & expose the Top 3 Most Damaging Frauds in Online Banking: phishing, RAT-based vishing and SIM swap

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