AI KYC that catches deepfakes, photo swaps, and AI-generated IDs.
AI KYC is the use of artificial intelligence to automate identity verification - reading documents, matching faces, and detecting forgery. TamperCheck.ai is the forensic layer in an AI KYC stack: it analyses every identity document for tampering, AI generation, and field-level edits that traditional KYC providers miss.
The problem
Why traditional KYC misses AI-generated identities
Most KYC providers were built on a 2015 threat model: photo swaps, expired documents, mismatched dates. They use template matching and OCR validation - which works fine until the attacker uses an AI tool to generate a fully synthetic document that doesn't match any template the provider has seen.
Deepfake detection for KYC is now a separate problem from face matching. The face is real (or convincingly synthetic), the document is plausible, and every visible field is internally consistent. The only signals are forensic: noise patterns, spectral artifacts, font rendering inconsistencies, and producer metadata.
AI KYC has to operate at two layers: identity verification (is this person who they claim to be?) and document forensics (is this document authentic?). Most providers do the first well. Almost none do the second. TamperCheck fills the gap.
What we detect
Forensic signals that expose fraud
Deepfake document detection
Catches fully AI-generated IDs, passports, and driving licences using spectral and noise pattern analysis trained on current-generation generative models.
Photo zone substitution analysis
Detects portrait swaps via boundary contrast, sharpness gradients, and compression mismatch in the portrait region.
MRZ integrity & checksum validation
Validates Machine Readable Zone characters, checksums, and consistency with visible passport fields.
Field-level edit detection
Detects edits to date of birth, expiry date, ID number, and name fields - the most commonly altered fields on identity documents.
Security feature plausibility
Analyses holograms, security overlays, and watermark patterns for plausibility relative to the issuing authority's known templates.
Cross-document consistency
When multiple documents are submitted (passport + payslip + utility bill), cross-checks for inconsistent metadata, producer fingerprints, or generation signatures.
The solution
How TamperCheck strengthens an AI KYC stack
TamperCheck is the document forensics layer in an AI KYC pipeline. Most teams keep their existing KYC provider for face matching, watchlist screening, and OCR, and add TamperCheck as the forensic check on every submitted document. One API call per document, verdict in about a minute.
How it works
- Drop-in forensic layer - works alongside Onfido, Jumio, Persona, Sumsub, or any KYC provider
- Deepfake & AI-fake detection - the layer your KYC provider doesn't have
- Works on any country's documents - forensic, not template-based
- API-first - integrate in under 30 minutes
- $0.50 per document - cheaper than re-running KYC checks
- Zero document storage - critical for KYC compliance
- Plain-English findings - your compliance team can act on results
FAQ
Common questions
See it working on your documents
Start with $5 in free credits - no contract, no card required. Upload your first document and get a verdict in about a minute.