Fraud Risk Suite (FRS)
Pre-transaction Intelligence built on AI
Modern fraud starts long before a transaction is signed. Customers may be manipulated during a scam call, operating from a compromised device, using a remote access tool, or behaving in ways that indicate account takeover or fraud.
ThreatFabric Fraud Risk Suite (FRS) helps financial institutions detect these risks earlier by combining Device Risk, Behavioural Analytics, and Mobile Threat Intelligence into a single fraud prevention platform.
Close the digital
visibility gap
Traditional transaction monitoring focuses on the payment itself. FRS looks earlier in the customer journey, identifying risk signals before transactions become fraud losses.
To create valuable pre-transaction intelligence across mobile & web banking journeys, Fraud Risk Suite (FRS) provides visibility into:
Malware & Device Compromise
New & Risky Devices
Remote Access Trojans (RATs) & Screen Sharing
Location Anomalies
Scam-call Indicators
Behavioural Anomalies
Fraudster Behavioural Patterns
Device Risk
Detect Technical Compromise
Device Risk helps identify fraud-enabling conditions before they lead to losses. Capabilities include:
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Mobile malware detection
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Remote Access Tool (RAT) detection
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Screen sharing detection
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Device insecurity detection
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Emulator and device farm detection
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Call intelligence
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VPN, TOR and proxy detection
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Location intelligence
By understanding the security posture of the customer's device, banks gain critical context often missed by traditional fraud solutions.
Mobile
Malware
ThreatFabric provides intelligence-driven detection of banking trojans, spyware, droppers and other fraud-focused malware families. Coverage combines known threat detection with techniques designed to identify previously unseen threats.
Remote Access Tools
FRS detects common RAT applications and screen-sharing activity frequently used in scams, account takeover and device takeover attacks. Additional context helps distinguish genuinely suspicious activity from legitimate software installations.
Call
Intelligence
FRS can identify signals associated with vishing attacks, including active calls, call duration, call type and cross-channel behaviour that may indicate customer manipulation.
Behavioural Analytics
Multiple AI Models to understand when customers divert from their normal behaviour
FRS Behavioural Analytics focuses on how users interact with digital banking, rather than just what they do. Using a patented dual-model approach, FRS continuously evaluates:
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How closely current behaviour matches the genuine customer
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How closely current behaviour resembles known fraud patterns
The platform analyses behavioural signals across mobile and web journeys, helping detect scams, account takeover and fraud even when credentials and authentication appear legitimate.
Why it's different
Multiple AI Models to understand when customers divert from their normal behaviour
FRS Behavioural Analytics:
- Monitors behaviour across the entire customer journey
- Uses multi-sensor behavioural analysis
- Learns from each bank's fraud patterns
- Continuously retrains models
- Uses transparent, explainable AI
- Is designed with privacy in mind
This allows fraud teams to identify suspicious behaviour earlier and with greater confidence.
Business Outcomes
The benefits of using FRS for your fraud operations and beyond
Stop more fraud
and protect customers
Improve brand reputation and
Net Promoter Score (NPS)
Comply with existing and
upcoming regulation
Detect the fraud that matters
FRS helps detect and prevent the fraud cases that challenge banks most
Social Engineering & Scams
- Impersonation scams
- Investment scams
- APP fraud
- Romance scams
- Invoice fraud
- Vishing and smishing
Account Takeover (ATO)
- Credential theft
- Session compromise
- Remote access fraud
- Phishing-based attacks
Device Takeover (DTO)
- Mobile malware
- RAT-assisted fraud
- Overlay attacks
- Device compromise
Hybrid Attacks
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Scam + malware
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Scam + ATO
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DTO + ATO
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Multi-stage fraud chains
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New Acount Fraud
Increase Value Detection Rate (VDR)
The goal is not more alerts. It is more fraud stopped
Behavioural Analytics implementations have consistently demonstrated 20%+ Value Detection Rate (VDR) uplift, with particularly strong improvements in social engineering, APP fraud and account takeover scenarios. ThreatFabric documentation also highlights examples where detection performance improved significantly while maintaining manageable alert volumes.
Voice of the Customer:
“We missed 2/3 of malware fraud before using FRS in our detection systems”
Head of Fraud Operations at Tier 1 Bank in Europe
Key Use Cases:
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Pre-transaction malware threat detection
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Bank and country-specific malware threat reports
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Incident response and investigation hotline
Business Value:
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Reduced malware fraud losses
- Brand protection
Built to fit existing fraud operations
FRS complements existing fraud platforms, transaction monitoring systems and machine learning models.
Device Risk and Behavioural Analytics scores can be integrated in fraud engines, case management platforms and existing fraud workflows, enabling organisations to strengthen detection without replacing current infrastructure.
Why ThreatFabric?
Getting your fraud detection capabilities to the next level
ThreatFabric uniquely combines Device Risk, Behavioural Analytics and Mobile Threat Intelligence within a single SDK AI platform designed specifically for financial institutions. The result is earlier fraud visibility, stronger scam detection, improved account takeover prevention and consistently higher fraud detection performance across mobile and web channels.