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ThreatFabric

ThreatFabric provides AI-powered fraud prevention solutions to safeguard online banking channels.

Technology & Telecom Fraud Prevention B2B Netherlands

The proof exists; buyers still have to work to find it.

Total score 74.3 Brand Control Score
Score band Fragile overall control level
Control gap 10.3 strongest minus weakest block
Weakest area Remove Friction lowest control area
Weakest block Convert Demand lowest block score
Competitors 10 mapped competitor set

Control block scores

Control areas

Choose the Market

Know the Market 80.0
Read Demand 78.0
Make Choices 80.0

Build the Brand

Be Recognised 79.0
Own Meaning 79.0
Win Choice 79.0

Create Demand

Control Channels 68.0
Build Memory 71.0
Balance Growth 71.0

Convert Demand

Control the Journey 72.0
Remove Friction 67.0
Guide Choice 68.0

Weakest signals

Leak badges

Demand Creation Leak
Channel Fragility
Conversion Friction
Choice Confusion

Competitor set

ThreatMark Provides fraud detection and prevention solutions for digital banking.
referenced
BioCatch Specializes in behavioral biometrics for online fraud prevention.
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ThreatMetrix Offers digital identity intelligence and fraud prevention solutions.
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iovation Provides device intelligence and fraud prevention services.
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SecuredTouch Focuses on behavioral biometrics for mobile fraud prevention.
referenced
Zighra Offers AI-driven behavioral biometrics for fraud detection.
referenced
Sift Provides digital trust and safety solutions to prevent fraud.
referenced
Forter Specializes in real-time fraud prevention for e-commerce.
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Signifyd Offers end-to-end fraud protection for online retailers.
referenced
Kount Provides AI-driven fraud prevention solutions for digital commerce.
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Profile summary

Category

Technology & Telecom

Sub-category

Fraud Prevention

Region

Netherlands

Target market

B2B

Company type

software product

Primary buyer

Fraud prevention teams in financial institutions

Core offering

Fraud Risk Suite (FRS)

Main use case

Detecting and preventing online banking fraud

Buying triggers

Increasing online fraud incidents, Regulatory compliance requirements, Need for seamless integration with existing systems

Evaluation criteria

Detection accuracy, Integration ease, Scalability

Differentiators

Comprehensive fraud prevention suite, Real-time threat intelligence, Lightweight SDKs for easy integration

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