Introducing DocV Omega
Verify the identity, not just the ID
AI-generated fraud is scaling fast. The rate of fraud Socure is seeing has increased by more than 8,000% in the past year. Synthetic documents, deepfakes, and injection attacks can look convincing when each signal is evaluated on its own.
To help you stay ahead of these attacks, Socure is launching DocV Omega, the next evolution of Document Verification. Omega brings all available identity signals together to better detect fraud while approving more of your good customers.
Watch Alana Feibus and Tucker Albers show DocV Omega in action
Watch for a closer look at how Socure's next evolution of Document Verification connects signals to catch sophisticated fraud, reduce false positives, and give your team more control in RiskOS.
What we'll cover
- 01How DocV Omega connects signals in one adaptive model
- 02What inputs inform the decision
- 03How one calibrated score can help detect sophisticated fraud and reduce unnecessary friction and review
- 04How to tune thresholds and routing in RiskOS
- 05What's changing, what's staying the same, and what existing customers need to know about rollout
How it works
10 intelligence pillars. One adaptive model.
DocV Omega connects more than 2,400 predictive variables across 10 intelligence pillars in one adaptive model. It evaluates how signals reinforce or challenge one another, then produces a single calibrated 0–1 fraud score informed by the full identity context, with reason codes and access to underlying signals. Teams can tune thresholds and routing in RiskOS by use case, channel, and risk tolerance.
DocV Omega delivers:
- 98%fraud capture within the riskiest 5% of transactions, with a false-reject rate below 1%
- 50%more fraud captured on synthetic and counterfeit documents
- 43%better detection of injection attacks and deepfakes
- 50%reduction in latency, with P95 of 250ms
Watch the webinar