AI-powered detection of document forgeries, metadata tampering, synthetic identities and altered valuations — across every banking workflow, at any volume.
Between 70 and 80% of bank fraud involves falsified or manipulated documents — income slips, corporate extracts, property valuations, insurance certificates and KYC files. Yet manual review processes miss 30 to 40% of sophisticated forgeries, leaving banks exposed to credit risk, regulatory sanctions and reputational damage.
The threat landscape is no longer limited to crude alterations. Digital manipulation tools now produce forgeries that are visually indistinguishable from originals. Template fraud, synthetic identities and AI-generated documents are scaling faster than compliance teams can adapt.
Sky GenAI intercepts tampered documents, forged identities and fabricated financials in real time — before they trigger a credit decision, a KYC approval or an insurance payout. Explainable fraud scores give your compliance teams the evidence they need to act and document every case.
Forgeries are more sophisticated, volumes are higher, and manual review cannot scale to match the threat.
Modern fraud tools produce pixel-perfect income slips, corporate extracts and identity documents. Digital alteration of fonts, figures and metadata is undetectable to the naked eye — template fraud kits are available on the dark web for under €50.
A mid-size retail bank processes hundreds of thousands of documents per month across credit, KYC, trade and insurance. Reviewing every document for authenticity signals is operationally impossible without automated support.
Fraudsters adapt faster than rule-based systems. New document templates, novel manipulation techniques and AI-generated content require models that continuously learn from new fraud signals — static rules become obsolete within months.
Overly aggressive detection flags legitimate documents, delays credit decisions and degrades customer experience. Banks need precision alongside sensitivity — catching real fraud while keeping false positive rates at a commercially acceptable level.
A five-stage pipeline that processes any document in under 2 seconds — from raw ingestion to actionable fraud alert.
Documents are ingested from any channel — API, email, portal upload or core banking integration. The engine accepts PDFs, images, scanned files and digitally-native formats across all document types: pay slips, KBIS extracts, property valuations, identity documents, insurance certificates and more.
Every document is dissected at the technical layer: PDF object structure, creation timestamps, editing history, font embedding, image compression artifacts and digital signature chains. Discrepancies between declared provenance and technical evidence are flagged immediately — a document claiming to originate from a payroll system but edited in a consumer PDF editor will not pass.
Computer vision models scan for pixel-level inconsistencies — copy-paste artifacts, resampled regions, font substitutions and bounding box misalignments invisible to human reviewers. Semantic analysis simultaneously validates whether extracted figures are internally consistent: salary totals, tax deductions, net pay and employer contributions are cross-checked for arithmetic coherence.
Extracted data is validated against external and internal reference sources — declared income versus banking transaction history, company registration details versus official registries, property valuations versus market benchmarks, and identity data versus watchlists and sanctions databases. Discrepancies between document claims and verifiable sources feed directly into the fraud score.
Each document receives a calibrated fraud probability score from 0 to 100, with a full breakdown of contributing signals. Scores above defined thresholds trigger automated case creation, workflow escalation and a structured compliance evidence pack — ready for regulatory audit. Low-risk documents clear automatically, keeping straight-through processing rates high.
Consistent, explainable fraud detection at the speed and scale banks actually need.
Fraudulent documents are flagged before they influence a credit decision, KYC validation or insurance claim — stopping losses at the point of entry rather than discovering them weeks later in a portfolio review.
Every document receives identical scrutiny regardless of volume peaks, team size or time of day. The detection quality of a senior fraud analyst, applied to every single file, with no fatigue and no inconsistency.
Every decision comes with a structured explanation listing the specific anomaly signals that contributed to the score — font inconsistencies, metadata discrepancies, cross-source mismatches. Evidence packs meet regulatory documentation requirements out of the box.
Confirmed fraud cases feed back into model training, keeping detection sharp against emerging techniques. New document templates, manipulation methods and synthetic identity patterns are incorporated continuously — without requiring manual rule updates.
See how Sky GenAI detects income tampering, fake corporate extracts, manipulated valuations and synthetic KYC identities — in real time, across all your banking workflows.
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