Document fraud detection
ID-Detect eliminates common document fraud attacks by verifying that a genuine, physical ID is present. Start protecting your business from AI-driven fraud, compliance fines and onboarding friction.
Detect and prevent document fraud
Defend against traditional and AI-driven attacks
Coverage across 16,000+ identity documents
What document fraud does ID-Detect catch?
ID-Detect adds an AI-fraud detection layer to our multi layered verification solution, confirming that the document presented is genuine, original, and in hand.
Printed copy attacks
Where stolen images or videos are reused to impersonate real users.
Screen replay attacks
Where pre-recorded screenshots or video of an ID is replayed on a device screen to fool the system.
Portrait substitution attacks
Where the photo on a genuine ID is replaced or swapped with a different individual.
AI-driven digital manipulation
Including deepfake documents, AI-generated forgeries, synthetic identities and tampering via editing software.
How ID-Detect has helped Finset avoid £3m in fraud losses
ID-Pal’s multi-layer solution has helped prevent more than £3 million worth of potential fraud over the last 2 years, enabling Finset to not only comply with the FCA, but protect the industry as a whole from reputational damage.
Graham Westwood, Founding Director
ID-Detect: advanced AI document fraud detection
What is ID-Detect?
ID-Detect is an additional layer of fraud prevention to futureproof your onboarding process. As generative-AI fraud attacks evolve, visual inspections and database checks can’t spot sophisticated deepfakes or synthetic IDs shown on a screen, and legacy digital tools can’t keep pace with emerging threats.
Award-winning innovation
- Winner – Biometric Authentication Innovation of the Year
Payments Awards 2025 - Winner – Best Security Innovation
Payments Awards 2024 - Winner – Best Financial Crime Solution
RegTech Insight Awards USA 2024
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Key benefits of ID-Detect for businesses
Accuracy in testing results
Trusted
data sources
Identity
documents
Learn how ID-Detect works
ID-Detect adds a powerful extra layer of fraud protection to keep your onboarding processes secure.
As generative AI-driven attacks become more advanced, traditional checks can’t always reliably spot deepfakes or synthetic IDs presented on a screen.
ID-Detect is built to stay ahead of these new threats and ensure only real users get through.
Advanced document fraud detection in three simple steps
Enable ID-Detect
ID-Detect is an additional layer of advanced fraud detection applied to every submission when enabled.
Check for AI Document Fraud
ID-Detect is an automated, AI-powered analysis of the identity documents submitted by a user, checking for the most common presentation attacks.
Onboard real customers rapidly
ID-Detect confirms that a document is not a “deepfake” or digitally manipulated, and the individual matches the ID. Detailed insights are provided on suspicious submissions.
Ready to make AI fraud detection effortless?
100% AI-powered
Real-time verification
Zero access to customer data
ID Detect FAQs
How does AI-powered document fraud detection actually work?
AI turns every ID image into a checklist and runs a series of instant checks:
- Looks for the document itself. It confirms there’s a real, three-dimensional passport or licence in front of the camera—not a screenshot, print-out or deepfake.
- Checks the face matches the person. A quick selfie-liveness test proves the applicant is physically present and the portrait on the ID hasn’t been swapped.
- Verifies the data inside. Machine-read zones, barcodes, expiry dates and security patterns are cross-checked against trusted databases so single-digit edits or synthetic IDs get flagged.
- Learns from every attempt. The model retrains on fresh fraud samples every week, so it keeps spotting brand-new tricks without you rewriting rules.
Fake documents are caught automatically and genuine customers are onboarded seamlessly, having proven they possess a genuine real ID and are the owner of that ID. All supported by a robust automated audit trail with insights on submissions flagged as suspicious.
What kinds of generative-AI fraud does document fraud detection technology catch?
- Screen-replay & video-loop attacks – AI spots inconsistencies that give away on-screen playback in document fraud detection solutions like ID-Detect by ID-Pal.
- Photocopy/print & photograph forgeries – 3D surface-depth and texture analysis reveal the flatness of a print-out or the colour-shift of a re-photograph, even when the copy is crystal-clear to the eye.
- AI-generated or digitally manipulated attacks – deepfakes leave evidence behind and ID-Detect’s technology can surface this within milliseconds.
- Portrait-swap or injection attacks – Feature-warping algorithms compare embedded portrait pixels against the live selfie, flagging swapped faces, overlays or pasted QR/MRZ segments.
How can businesses stop AI-driven document fraud?
- Deploy a multi-layer AI document fraud detection tool like ID-Pal’s ID-Detect.
Its computer-vision engine proves a physical document is in front of the camera and flags deepfakes, photocopies, screen replays and portrait swops. - Add extra signals, not extra friction.
Pair AI-powered document analysis with biometric and database checks so fraudsters have to beat several defences at once, while genuine customers still onboard in minutes. - Let the model keep learning for you.
Choose a service that retrains on the latest fraud samples every week, so it spots new tricks without you hiring more analysts. - Tune risk rules to your business.
Tighten thresholds for high-value products or risky geos; send only borderline cases to manual review instead of blocking good users. - Insist on audit-ready evidence.
Every pass/fail should come with images, timestamps and a tamper-proof log so compliance teams and regulators can verify decisions in seconds.
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