AI Document Fraud Detection  โœฆ  Built for Banks & Financial Institutions

Catch Every Forged Document.
Before It Costs You.

Let's build a document fraud detection mind.

DocMind analyzes every submission with three independent AI streams โ€” forensic, vision, and metadata โ€” delivering an explainable verdict in under 15 seconds, entirely on-premise.

Regulatory aligned 100% On-Premise Arabic + English Under 15 seconds
DocMind Pipeline
DOCMIND PIPELINE FORENSIC ELA โ€ข Noise โ€ข TruFor VISION AI Fields โ€ข Layout โ€ข Logic METADATA EXIF โ€ข PDF โ€ข Origin ฮฃ PASS INPUT VERDICT
Forensic
Vision AI
Metadata

AI Made Forgery Easy.
Your Detection Must Be Smarter.

Generative AI can now produce bank statements, national IDs, and official letters that are nearly indistinguishable from genuine documents. Traditional manual review can't keep up.

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Edited Documents

A legitimate document opened in Photoshop or a phone app. Names changed, numbers altered, photos swapped. Simple edits that bypass visual inspection but leave detectable forensic traces.

Most common fraud type in banking
๐Ÿค–

AI-Generated Documents

Entirely fabricated documents created by generative AI. Fake bank statements, synthetic IDs, forged letters of guarantee โ€” visually convincing but structurally flawed under forensic analysis.

New threat โ€” growing exponentially
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Template-Based Fraud

Real document templates filled with false information. The format is authentic, the content is fabricated. Company registrations and letters of guarantee built from leaked or stolen templates.

Hardest to catch with manual review

Three Streams. One Verdict.

Every document runs through three independent analysis streams in parallel. Each stream catches what the others might miss. The combination is what makes DocMind reliable enough for production banking.

STREAM 01
FORENSIC

Forensic Image Analysis

Pixel-level manipulation detection that catches what the human eye cannot see. Error Level Analysis reveals compression inconsistencies. Noise pattern analysis detects regions pasted from different sources. Produces a visual heatmap highlighting exactly where manipulation was detected.

Error Level Analysis (ELA) Noise Pattern Analysis Compression Artifact Detection TruFor Localization Heatmap
STREAM 02
VISION AI

AI Document Intelligence

A Vision Language Model that reads and reasons about the document. It extracts fields, validates layout against known templates, checks font consistency, and runs logical checks โ€” does the IBAN validate? Do the dates make sense? Are transaction amounts consistent with the balance?

Field Extraction (AR + EN) Template Layout Validation Font Consistency Check IBAN & Logical Validation
STREAM 03
METADATA

Metadata & Deterministic Checks

Fast, deterministic validations with zero false positives. EXIF data reveals editing software signatures. PDF metadata exposes text layers added after scanning. When these checks trigger, the finding is definitive.

EXIF Analysis PDF Structure Inspection Software Signature Detection Timestamp Consistency

Aggregated Verdict

All three streams contribute independent scores and findings. The aggregation engine combines them into a single, explainable verdict with a confidence score. Every finding is traceable to its source stream โ€” giving compliance officers the evidence they need to act.

โ— GREEN โ€” Document Passes โ— YELLOW โ€” Human Review Required โ— RED โ€” Document Rejected

See What DocMind Catches

A manipulated bank statement โ€” the account holder name was changed in Photoshop and re-saved. Here's what DocMind finds in under 15 seconds.

โ—† National Trade Bank
Account Statement โ€” March 2026
Account Holder โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆ
โš  TAMPERED
Account Number โ–ˆโ–ˆโ–ˆ-โ–ˆโ–ˆโ–ˆโ–ˆ-โ–ˆโ–ˆโ–ˆโ–ˆ
โœ“ CLEAN
IBAN IQโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆ โ–ˆโ–ˆโ–ˆโ–ˆ
โœ“ VALID
Statement Date โ–ˆโ–ˆ/โ–ˆโ–ˆ/2026
? INCONSISTENT
Balance IQD โ–ˆโ–ˆ,โ–ˆโ–ˆโ–ˆ,โ–ˆโ–ˆโ–ˆ
โœ“ CONSISTENT
Stream 1 โ€” Forensic Analysis FAIL ยท 23%
Name field shows compression-level mismatch (ELA). Noise pattern differs from surrounding document. Consistent with image editing and re-saving.
Stream 2 โ€” Document Intelligence REVIEW ยท 58%
Font rendering in the account holder name appears inconsistent with other fields. Statement date references a future date. IBAN checksum validates correctly.
Stream 3 โ€” Metadata Analysis PASS ยท 94%
EXIF data present and consistent. No editing software signatures detected. Creation and modification dates within expected range.
Final Verdict
โš  YELLOW โ€” Human Review Required
Routed to compliance officer with annotated findings

Built for Banking. Built to Scale.

Every feature is designed for the realities of modern banking โ€” bilingual, on-premise, and aligned with international regulatory requirements.

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Multi-Model Scoring

Three independent detection streams โ€” forensic, AI reasoning, and metadata โ€” combined into a single explainable verdict with confidence scoring.

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Arabic-First

Full Arabic language support for document reading, field extraction, annotations, reports, and the user interface. English available as secondary.

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On-Premise Deployment

Runs entirely within the bank's infrastructure. No document data leaves the bank's network. Fully compliant with data sovereignty and privacy regulations.

๐Ÿ—‚๏ธ

Document Template Library

Pre-built templates for national IDs, passports, and bank-specific documents. Layout validation against authentic document structures.

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Human Review Workflow

Built-in review queue with annotated heatmaps, escalation to supervisors, and role-based access control. Every decision creates an immutable audit trail.

๐Ÿ”—

API & Integration

REST API connects DocMind to core banking systems and digital onboarding platforms. Webhook support for async processing and real-time notifications.

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Analytics Dashboard

Real-time verification statistics, fraud detection trends, false positive rate tracking, and document type breakdown. Monitor system health at a glance.

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Compliance Reporting

Configurable report templates with evidence packaging. Generate audit-ready reports in Arabic and English. Full audit trail for every document and decision.

โšก

Fast Processing

5โ€“15 seconds per document. All three analysis streams run in parallel. Sequential batch processing for high-volume onboarding.


Your Data Never Leaves Your Network

DocMind deploys entirely inside the bank's perimeter. A single GPU server or multiple GPU servers handle inference, scaling with the bank's volume. No cloud, no external dependencies, no data leakage.

BANK NETWORK PERIMETER โ€” NO EXTERNAL CONNECTIONS Core Banking Digital onboarding KYC ยท Account ops REST / Webhook DocMind On-Premise SCALABLE GPU CLUSTER Forensic ELA ยท Noise TruFor Vision AI Fields ยท Layout Logic Metadata EXIF ยท PDF Origin Aggregation + Verdict GREEN ยท YELLOW ยท RED Review Queue Compliance officer Approve ยท Reject ยท Escalate Audit Trail Immutable logs Evidence packaging document verdict log

Built for Regulatory Compliance

Modern banking regulators worldwide require AI-powered document verification, on-premise data sovereignty, and immutable audit trails. Here's how DocMind addresses each requirement.

Requirement 1

Automated Document Verification

The circular mandates a combination of biometric authentication and automated document verification systems for customer identification.

โœ“ Addressed by DocMind's multi-model detection engine
Requirement 2

On-Premise Preference

Banking regulators worldwide are moving toward on-premise mandates for biometric and document data, ensuring full sovereignty within the institution's jurisdiction.

โœ“ DocMind is deployed entirely on-premise
Requirement 3

Human Review for High-Risk Cases

Electronic documents must not be accepted without verification. Automated systems must be supplemented with mandatory human review for high-risk cases.

โœ“ Built-in human review workflow with escalation
NDA / DPA

Legal Agreements

Binding NDA and DPA agreements required with technology providers to ensure compliance and data protection.

โœ“ boxMind.ai provides full NDA and DPA
Continuous Updates

System Currency

Detection systems must be updated regularly. Old versions must not be used due to rapidly evolving forgery techniques.

โœ“ Modular architecture enables independent updates
Audit & Evidence

Immutable Audit Trail

Every analysis and human decision must be logged and retained for regulatory inspection and fraud investigation evidence.

โœ“ Immutable logs with evidence packaging
<15s Per Document
3 Detection Streams
100% On-Premise
AR+EN Bilingual

Request a Demo

See DocMind in action. In a 30-minute call, we'll walk you through the platform, show you how our three-stream pipeline detects real fraud, and answer any questions about deploying inside your bank.

This call is for:
  • Banks and financial institutions worldwide
  • Compliance officers preparing for new regulatory mandates
  • Digital onboarding and KYC teams
  • Technology leaders evaluating on-premise AI
โฑ 30-minute call  โ€ข  No commitment required  โ€ข  Live document analysis demo
๐Ÿ”’ Your information is confidential. We never share client data.
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Request Received

Our team will contact you within 24 hours.

Built by Engineers Who Understand Banking

DocMind is a product of boxMind.ai, the AI innovation arm of AEG โ€” Allied Engineering Group, a trusted name in financial technology and security infrastructure since 1994.

boxMind.ai

AI Innovation Lab

boxMind.ai is the AI research and product division behind DocMind. We specialize in purpose-driven AI systems that solve real-world problems for financial institutions โ€” from document fraud detection to signature verification to brand protection โ€” all designed to run locally and respect data sovereignty.

Visit boxMind.ai โ†’
AEG โ€” Allied Engineering Group

30+ Years in Financial Technology

Founded in 1994, AEG is one of the top SWIFT Service Bureaus worldwide โ€” fully accredited and compliant with SWIFT's Standard Operation Practice. For three decades, AEG has delivered enterprise-grade connectivity, compliance, and security solutions to banks and financial institutions globally.

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Visit AEG โ†’