Digital Identity Trust with IBM Security Trusteer

Digital Identity Trust
 with IBM Security Trusteer

Book time with an expert

  • Discover

  • Onboard/Verify

  • Verify/Login

  • Use

Discover

07:15 AM . Home . Laptop

IBM Security Trusteer kicks into action the second a user discovers an organization’s site. As visitors travel throughout the site, Trusteer analyzes the full context of the user and interactions to begin to build a trust score.

Trusteer Analyzes

Trusteer global identity consortium

Validates if the device or the user evidence is known as good or bad in the Trusteer global network.

Spoofing IP or device

Identifies false source IP address or spoofed characteristics to hide user identity or impersonate another computing system or user.

Location

Identifies location and validates the source is legitimate and acceptable to rule out bad actors.

You’ve reached the end of the Discover section. Use the hotspots to uncover additional information and explore additional sections via the navigation menu.

Network Data

Looks at network data for signs of a potential known bad actor.

Malware detection

Analyzes whether malware is active on the user’s device or if anomalies exist in the session, which can be a sign of a compromised user.

Behavioral biometrics

The use of machine learning helps to build profiles of how users interact with their devices and detects anomalies which may signify a potential threat.

Device ID

Looks up a device’s specific identification and matches it with Trusteer global network details to determine the validity of the activity.

Bot detection

Determines if the navigation is conducted by a bot or a human to identify suspicious behavior.

Onboard

12:45 PM . Work . Mobile

Even as users switch devices, Trusteer works to detect fraud and build digital identity trust. Behind the scenes, Trusteer scans movements, speed of data entry, session length, behavioral patterns, and more to determine the legitimacy of the user.

Trusteer Analyzes

Behavioral biometrics

The use of machine learning helps to build profiles of how users interact with their devices and detects anomalies which may signify a potential threat.

Device intelligence

Identifies the device used based on its unique characteristics and configurations to learn details about true or false users.

Location spoofing

Determines if the user’s location is false, which is a sign of a potential bad actor aiming to remain anonymous.

Known bad-actors network

Scans through Trusteer’s known bad-actors database to determine if information and activities captured align with those found in the database.

Accounts creation abuse

Analyzes whether the user or elements of the identity were already used to create other accounts, as bad actors often do, or if this is the first account created.

You’ve reached the end of the Onboard/Verify section. Use the hotspots to uncover additional information and explore additional sections via the navigation menu.

Identity knowledge & linkage

Looks at the information the user provides during the on-boarding process to determine potential bad actors based on evidence within Trusteer’s network.

Mobile hygiene

Analyzes device vulnerability to see if it’s been jailbroken or includes a root hider, spoofing evidence, emulator or malware infection.

Velocity pattern

Determines if a user has rapidly created different accounts in different applications via the same device, creating cause for concern.

Phone intelligence

Trusteer identifies if phone number is registered as a pre-paid or burner device and analyzes the number’s address, country, roaming indication, and more to determine legitimacy.

Email intelligence

Trusteer determines if the email was randomly generated or used in the past to identify potential known malicious users.

Verify/Login

06:15 PM . Work . Mobile

While data and credentials are entered across different sessions, Trusteer provides a nuanced trust score that can help determine customized access and authentication policies for each user. Highly trusted users can be served a more seamless digital experience.

Trusteer Analyzes

Behavioral biometrics

The use of machine learning helps to build profiles of how users interact with their devices and detects anomalies which may signify a potential threat.

Malware detection

Analyzes whether malware is active on the user’s device or if anomalies exist in the session, which can be a sign of a compromised user.

Trusteer global identity consortium

Validates if the device or the user evidence is known as good or bad in the Trusteer global network.

You’ve reached the end of the Verify/Login section. Use the hotspots to uncover additional information and explore additional sections via the navigation menu

Phishing detection

Understands what other webpages the user is arriving from to determine if the user previously visited a known phishing page.

Cross channel pattern

Analyzes cross channel patterns that match known fraudulent activity such as logins from an infected device, new mobile device, or frequent logins from different channels.

Passwordless authentication

Highly trusted users can be authenticated without a password. Challenge only those with lower levels of identity trust with further authentication steps.

Social engineering

Determines if there is any evidence or characteristics of potential social engineering.

Rat & overlay detection

Identifies if there is an active Remote Access Trojan (RAT) that would fraudulently log keystrokes, steal passwords, or capture other session details.

Use

09:15 PM . Home . Tablet

As users revisit and continue to navigate the site or make changes to their account details, Trusteer determines if the behavior pattern is normal for that specific user, and more. If any anomalies arise that signal it may be a different user, then it could be a sign of malicious intent.

Trusteer Analyzes

Behavioral biometrics

The use of machine learning helps to build profiles of how users interact with their devices and detects anomalies which may signify a potential threat.

Malware detection

Analyzes whether malware is active on the user’s device or if anomalies exist in the session, which can be a sign of a compromised user.

User activity

Analyzes user activity and compares it to the typical user activity associated with that account as well as transaction monitoring.

Journey analysis

Understands what other webpages the user is arriving from to determine if the user previously visited a known phishing page.

Authentication bypass

Detects whether there is an ability to bypass the authentication method being used, like SMS stealer or any other infections that can bypass the authentication.

You’ve reached the end of the Use section. Use the hotspots to uncover additional information and explore additional sections via the navigation menu.

Session

Looks for changes in the session and identifies signs of potential malicious activity.

Step-up authentication

For activity deemed sensitive, Trusteer may enforce additional verification to increase trust in the identity, with step-up authentication: OTP or biometric authentication

User navigation journey

Analyzes user interactions with the site and determines if it matches with regular behavior of previous sessions of the known user.

Transaction monitoring

Detects abnormal activity surrounding transactions and identifies if the activity matches known fraudulent patterns.

Network

Identifies how the user is connecting to validate the trustworthiness of the network, as well as identifying any RAT patterns.