# AI KYC > 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. **Canonical URL:** https://tampercheck.ai/ai-kyc --- ## 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 TamperCheck detects ### 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. ## 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. - **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 ## Frequently asked questions ### What is AI KYC? AI KYC is the use of artificial intelligence to automate Know Your Customer verification - reading and validating identity documents, matching faces, screening watchlists, and detecting forgery. Modern AI KYC stacks combine multiple layers: OCR, face matching, liveness, and document forensics. TamperCheck provides the forensics layer. ### How is AI KYC different from traditional KYC? Traditional KYC relies on template matching, manual review, and basic OCR validation. AI KYC adds machine learning for face matching, liveness detection, document classification, and - critically - forgery detection. The biggest gap in most AI KYC stacks is document forensics, which is where deepfake and AI-generated IDs slip through. ### Can AI KYC catch deepfake documents? Only if it includes a forensic layer trained specifically on generative AI signatures. Most AI KYC providers focus on face deepfakes, not document deepfakes - these are different problems. TamperCheck specialises in document deepfake detection, using spectral analysis and noise pattern signatures to catch synthetic IDs. ### Do I need to replace my existing KYC provider to add AI KYC forensics? No. TamperCheck is designed to slot in alongside any existing KYC provider. Keep Onfido, Jumio, Persona, or Sumsub for face matching, watchlist screening, and OCR; add TamperCheck as the forensic check on every document. One API call per document, verdict in about a minute. ### Is AI KYC compliant with GDPR and AML regulations? AI KYC compliance depends on the provider's data handling. TamperCheck processes all documents ephemerally - the file bytes are analysed and immediately discarded, nothing is stored on our infrastructure. This is GDPR-friendly by design and supports zero-retention policies common in regulated industries. ### How fast is AI KYC document verification? TamperCheck returns a verdict in about a minute per document. For real-time onboarding flows, that's fast enough to run synchronously; for batch reviews, the API supports async webhooks. Throughput scales horizontally - there's no per-account rate ceiling on the standard plan. ## Related use cases - https://tampercheck.ai/use-cases/kyc-identity-verification - https://tampercheck.ai/use-cases/lending-credit - https://tampercheck.ai/use-cases/visa-immigration ## Compare with alternatives - https://tampercheck.ai/compare/onfido-vs-tampercheck-ai - https://tampercheck.ai/compare/jumio-vs-tampercheck-ai - https://tampercheck.ai/compare/persona-vs-tampercheck-ai - https://tampercheck.ai/compare/sumsub-vs-tampercheck-ai --- Try TamperCheck free: https://tampercheck.ai/dashboard · Docs: https://tampercheck.ai/docs · Pricing: https://tampercheck.ai/pricing