Fraud Prevention
An AI layer that scores risk at the edge and hands clear evidence to human reviewers. Detect synthetic identities, injection attacks and face spoofing before they reach your operation.
Explainable fraud signals, not black boxes
Attack-vector identification
Active detection of VPN usage, injection attacks (virtual cameras and deepfakes) and pixel manipulation in documents.
Multidimensional risk scoring
Each case receives a score based on cross-analysis of biometrics, network and document authenticity.
Evidence for the analyst
The engine surfaces the exact breakdown of triggered alerts, so the human decision is informed and defensible.
Generative anti-spoofing
Multi-layered defense against AI-driven impersonation, aligned with ongoing AI Labs research.
How it works
Edge analysis
Every attempt is scored in real time: network, device, biometrics and document authenticity.
Score and signals
The engine assigns a risk level and records the signals that justify it.
Filter or escalate
Legitimate traffic proceeds automatically; suspicious cases are escalated with their evidence to the Review Hub.
Traceable, explainable risk decisions
The GDPR limits solely automated decisions with legal effects. Idesify keeps a human at the center of critical decisions.
- Human-in-the-loop: no critical decision executes without competent human validation (Art. 22).
- 72-hour breach notification per Art. 33, with evidence already documented.
- Full traceability of the signals behind each risk decision.
- Data minimization: only what is needed to assess risk is processed.
Scale your onboarding.
Automate your compliance.
Stop choosing between high conversion rates and strict regulatory compliance. Unify your identity workflows, detect fraud in real-time, and give your users full control over their privacy.