Risk Intelligence:
The Signals Behind Smarter Trust.
Smarter by Design.
Fraud today is fast, adaptive and invisible to traditional checks. Static KYC just isn’t enough. That’s why IDnow’s Risk Intelligence surfaces the subtle signals that reveal real risk, empowering businesses to make smarter, faster and more confident decisions without adding friction.
Our layered signal analysis helps detect identity fraud, synthetic identities, deepfakes and more in real time and across the customer journey.
Risk Intelligence works quietly in the background, analysing behavioral, contextual and technical signals to separate good users from bad actors. Instead of relying on a single data point, we evaluate numerous signals in parallel, building a holistic picture of risk at onboarding, during login or even mid-session.
Whether you use IDnow standalone or alongside your own fraud stack, our signals are modular, real-time and designed to enhance both security and experience.
What we analyse:
Explore the signals powering our real-time fraud prevention.
Reality Check: Fraud in Action
A user uploads a valid-looking ID photo, but behind the scenes, that same image has appeared across multiple onboarding attempts with different names and birthdates. In other sessions, a reused ID number pops up again, subtly altered or tied to a different document template. 360 Signals connects these fragments across sessions.
Reality Check: Fraud in Action
A user signs up from a mobile device, but it turns out to be an emulator with identical device attributes to five previous high-risk sessions. Or a jailbroken phone accesses an onboarding flow that’s typically used only by corporate clients. Device Intelligence spots these red flags in real time, identifying risk before a transaction is approved or an account is opened.
Reality Check: Fraud in Action
A user applies for an EU-regulated product but is logging in via a TOR network routed through Southeast Asia, far outside the registered address. Or an IP flagged for mass registration attempts suddenly appears under a different user ID. These inconsistencies reveal location manipulation that often signals account farming or organized fraud.
Reality Check: Fraud in Action
A user registers with an email address created just hours earlier using a disposable domain known for spam and fraud. Or multiple signups use different addresses, but all resolve to the same IP and show near-identical interaction patterns. Email Risk flags these low-trust accounts instantly, stopping them before they move further down the funnel.
Reality Check: Fraud in Action
A phone number is provided for 2FA, but it’s linked to a SIM swap just 24 hours earlier, a known tactic in account takeover fraud. Or the number is registered with a VoIP provider used in hundreds of previous scam attempts. Phone Number Risk catches these subtle patterns, helping you break the chain before it starts.
Continuous Trust.
Protection that evolves with your users.
Trust isn’t static, a verified user today could become a compromised account tomorrow. IDnow’s signals are designed not just for onboarding, but for ongoing monitoring and behavioural change detection across the customer lifecycle. Spot social engineering, synthetic identities, deepfakes and other emerging typologies before it leads to loss.
Designed to Fit Your Stack.
Whether you use IDnow’s full identity flow or integrate our signals into your own risk engine, we deliver:
Modular signal access via API
Scalable performance across regions
Privacy-compliant data enrichment
Seamless orchestration via IDnow’s Trust Platform
AI-Driven Detection – Built to Stay Ahead.
Our signals don’t just run, they learn. IDnow applies machine learning to detect emerging fraud typologies, refine decisioning and reduce false positives over time. We train continuously on diverse threat data to ensure your risk controls evolve as fast as the fraud.
Ready to outsmart fraud in real time?
Discover how IDnow Risk Intelligence can help you stop fraud before it starts and protect trust as it grows.