We’ve enhanced our abuse monitoring system with the integration of the Domain Trust feed from the Global Cyber Alliance. This feed adds predictive intelligence to our existing monitoring capabilities, helping partners identify potentially risky domains earlier in the lifecycle.
What’s different
Traditional reputation blocklists (RBLs) focus on domains that are already confirmed as malicious. The Domain Trust feed takes a different approach.
It includes PreCrime™ Intelligent Cyberthreat Prevention by BforeAI, which uses behavioral patterns and predictive signals to identify domains that may pose a risk, before abuse or fraud is confirmed.
This allows for earlier insight, rather than relying solely on historical indicators.
Why this matters for you
Predictive intelligence adds an additional layer to fraud and risk management:
- Earlier signals of potential fraud
Domains flagged by predictive models may be associated with payment fraud, including the use of stolen credit cards. - Reduced financial exposure
Earlier visibility helps limit chargebacks and other downstream financial impact. - Broader risk mitigation
This goes beyond domain abuse detection, supporting fraud prevention and business risk management.
How to use this data
This predictive intelligence is available at no additional cost through our existing abuse monitoring system and reports.
You can use it to:
- Review domains flagged as potentially linked to payment fraud
- Use alerts to refine fraud detection rules in your own systems
- Combine predictive signals with existing data in automated risk scoring models
- Use the dashboard for trend analysis and monitoring over time
Expanding from abuse prevention to fraud prevention
By adding predictive intelligence feeds, we’re extending our abuse monitoring capabilities to support fraud prevention as well.
This enables partners to make more informed decisions, reduce financial risk, and respond earlier to evolving threats, using the same tools and workflows they already rely on.
Want to learn more?
The enhanced abuse monitoring data is available via the Realtime Register platform.
If you’d like to discuss how to best use these insights within your risk or fraud processes, feel free to contact us.