Secure Portal

Personal data security and fraud protection for websites, e-commerce and paid subscription services

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Customized solutions tailored to your industry

Travel

Prevent loyalty programs fraud, fraudulent ticket sales, and account takeover

E-commerce

Detect malicious bot activity, account takeover, and multiple account registration fraud

Insurance

Recognize false insurance claims and hijacking of user accounts

Gaming & Gambling

Identify fake accounts and block bots to ensure fair play

Crypto

Safeguard your cryptocurrency projects against scams, botnets, and mining fraud

E-government

Protect government online services from fraudulent activities and ensure the safety of sensitive data

Detect a whole range of online fraud threats

  • Bot activity
  • Loyalty programme fraud
  • User account fraud
  • Social engineering attacks
  • Payment fraud
  • Cross-channel fraud

Exclusive anti-fraud technologies, protecting your portal


Behavioural analytics (UEBA)

Detects: money laundering, social engineering, account takeover, credit fraud, auto account creation and automated actions, bot activity actions, bot activity

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Detects: money laundering, social engineering, account takeover, credit fraud, auto account creation and automated actions, bot activity actions, bot activity

Using machine learning technologies we continuously analyze user profile based on what is happening during the session (typical scenario of legitimate user vs fraudster) and how the user behaves (bio-chronometrics with number of criteria: velocity & navigation, mouse movement, keystrokes, typing cadence, delays etc). This allows us to identify against previous sessions if a legitimate user or fraudster is logged in.

Advanced Device Fingerprinting

Detects: identity theft, usage of anonymizers and aggregators, money laundering, cross-client attacks

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Detects: identity theft, usage of anonymizers and aggregators, money laundering, cross-client attacks

Inside our device fingerprinting technology wide range of algorithms analyses the same set of parameters to provide advanced dynamic analysis. It allows to differentiate normal device evolution (OS, browser updates etc) from suspicious changes. Precise fingerprinting can be also applied to investigate money laundering and illegal cashing out networks when several accounts are used from the same device even when TOR, proxy or «anonymizers» are applied. Advanced device fingerprinting allows to highlight malicious activity across separate clients.

Clientless Malware Detection

Detects: trojans (including mobile and web-fakes), unsanctioned remote access, web-injects («man-in-the-browser» attacks), cross-channel attacks, social engineering, bot activity, brute force, web-scraping

Learn more
Detects: trojans (including mobile and web-fakes), unsanctioned remote access, web-injects («man-in-the-browser» attacks), cross-channel attacks, social engineering, bot activity, brute force, web-scraping

Patented clientless detection allows Secure Portalto identify infected client devices without impacting client experience as no installation is required. We catch PC and mobile trojans (including those using web-fakes), web-injects, remote access and social engineering cases. For each case we give wide context, collect injects, C&Cs, and other data to investigate attacks.

Group-IB Threat Intelligence

Detects: newest types of fraud, attacks during preparation, early phishing detection

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Detects: newest types of fraud, attacks during preparation, early phishing detection

We integrate Group-IB Threat Intelligence (recognized among the top by IDC, Gartner, Forrester) data on threat actors, malware intelligence, malicious IPs and compromised data (logins, passwords, bank cards) into Secure Bank. This allows us to track campaigns, identify web-injects (man-in-the-browser attacks) and actors to give additional insights and actionable intelligence to anti-fraud and cyber security teams.

Global User Profiling

Detects: new account fraud, money laundering, social engineering

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Detects: new account fraud, money laundering, social engineering

By cross-referencing anonymized data, Secure Portalcreates global user profiles across different online banking channels. This gives us understanding of affinities between users, accounts and sessions to identify good vs bad users with less friction and higher accuracy rates. Our unique threat intelligence stack and Secure Portal analysis on other client identifiers allow us to detect hidden threats and suspicious connections.

Advanced Rule Engine

Advanced Rule Engine allows to adopt existing rules or create new ones to fight with fraudsters schemes, specific to your business. You can create your own risk score model, enhance it to stay effective in a changing environment.

Learn more

Advanced Rule Engine allows to adopt existing rules or create new ones to fight with fraudsters schemes, specific to your business. You can create your own risk score model, enhance it to stay effective in a changing environment.

JavaScript module

As a JavaScript module, Secure Portal is loaded into the source code of each web page that you want to protect. It collects control data of each visitor to the webpage, such as what browser such as what browser...

Learn more

As a JavaScript module, Secure Portal is loaded into the source code of each web page that you want to protect. It collects control data of each visitor to the webpage, such as what browser is in use, browser plugins, cursor movement, device information and other non-confidential data in order to create a unique fingerprint of each client visiting your page.

Mobile SDK

Secure Portal can be deployed via a Software Development Kit, that is easily integrated with customer mobile applications. Its anti-fraud functionality allows to identify mobile devices and...

Learn more

Secure Portal can be deployed via a Software Development Kit, that is easily integrated with customer mobile applications. Its anti-fraud functionality allows to identify mobile devices and discover malicious apps on Android and iOS.

Cross-Channel Analytics

Detects: cross-channel attacks, card‑not‑present fraud (CNP)

Learn more
Detects: cross-channel attacks, card-not-present fraud (CNP)

By cross-referencing anonymized data, Secure Portal creates global user profiles across different online banking channels. This gives us understanding of affinities between users, accounts and sessions to identify good vs bad users with less friction and higher accuracy rates. Our unique threat intelligence stack and Secure Portal analysis on other client identifiers allow us to detect hidden threats and suspicious connections.

Request a demo

How Secure Portal works

Unknown user

Session info collection by Secure Portal module on website or in mobile app

User device and activity analysis

verdict

Blocking of fraudulent activity

Transferring information about fradulent activity to anti-fraud system or analysts

Why world leading companies choose Secure Portal

150,000 malicious
bot requests

detected Secure Portal in just 24 hours on а popular online store, which had been already overlooked bу the existing bot management solution

Already integrated with

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Behavioural analytics
(UEBA)

Behavioural analytics (UEBA)


Detects: money laundering, social engineering, account takeover, credit fraud, auto account creation and automated actions, bot activity

Using machine learning technologies we continuously analyze user profile based on what is happening during the session (typical scenario of legitimate user vs fraudster) and how the user behaves (bio-chronometrics with number of criteria: velocity & navigation, mouse movement, keystrokes, typing cadence, delays etc). This allows us to identify against previous sessions if a legitimate user or fraudster is logged in.

Advanced Device Fingerprinting


Detects: identity theft, usage of anonymizers and aggregators, money laundering, cross-client attacks

Inside our device fingerprinting technology wide range of algorithms analyses the same set of parameters to provide advanced dynamic analysis. It allows to differentiate normal device evolution (OS, browser updates etc) from suspicious changes. Precise fingerprinting can be also applied to investigate money laundering and illegal cashing out networks when several accounts are used from the same device even when TOR, proxy or «anonymizers» are applied. Advanced device fingerprinting allows to highlight malicious activity across separate clients.

Clientless Malware Detection


Detects: trojans (including mobile and web-fakes), unsanctioned remote access, web-injects («man-in-the-browser» attacks), cross-channel attacks, social engineering, bot activity, brute force, web-scraping

Patented clientless detection allows Secure Bank to identify infected client devices without impacting client experience as no installation is required. We catch PC and mobile trojans (including those using web-fakes), web-injects, remote access and social engineering cases. For each case we give wide context, collect injects, C&Cs, and other data to investigate attacks.

Group-IB Threat Intelligence


Detects: newest types of fraud, attacks during preparation, early phishing detection

We integrate Group-IB Threat Intelligence (recognized among the top by IDC, Gartner, Forrester) data on threat actors, malware intelligence, malicious IPs and compromised data (logins, passwords, bank cards) into Secure Bank. This allows us to track campaigns, identify web-injects (man-in-the-browser attacks) and actors to give additional insights and actionable intelligence to anti-fraud and cyber security teams.

Global User Profiling


Detects: new account fraud, money laundering, social engineering

By cross-referencing anonymized data, Secure Bank creates global user profiles across different online banking channels. This gives us understanding of affinities between users, accounts and sessions to identify good vs bad users with less friction and higher accuracy rates. Our unique threat intelligence stack and Secure Bank analysis on other client identifiers allow us to detect hidden threats and suspicious connections.

Advanced Rule Engine


Advanced Rule Engine allows to adopt existing rules or create new ones to fight with fraudsters schemes, specific to your business. You can create your own risk score model, enhance it to stay effective in a changing environment.

JavaScript module


As a JavaScript module, Secure Bank is loaded into the source code of each web page that you want to protect. It collects control data of each visitor to the webpage, such as what browser is in use, browser plugins, cursor movement, device information and other non-confidential data in order to create a unique fingerprint of each client visiting your page.

Mobile SDK


Secure Bank can be deployed via a Software Development Kit, that is easily integrated with customer mobile applications. Its anti-fraud functionality allows to identify mobile devices and discover malicious apps on Android and iOS.

Cross-Channel Analytics


Detects: cross-channel attacks, card-not-present fraud (CNP)

Secure Bank protects users across web and mobile channels via JavaScript and mobile SDKs. This gives us the capacity to also detect a wide range of cross channel attacks, including attacks on third party platforms such as e‑commerce where card not present fraud may take place, as our script can be integrated into 3‑D Secure pages.

Report an incident

24/7 Incident Response Assistance +65 3159-4398

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