Solutions/Banking CRO

Banking CRO Fraud Detection

Your risk team reviews thousands of images daily—check deposits, onboarding IDs, signature cards. Sightova gives banking CROs and compliance officers an AI forensic layer that catches synthetic media fraud human reviewers cannot see.

API: v3.BANKING_INTEL
CHECK MODELS: 8 ACTIVE
FFIEC ALIGNED

Banking Fraud Detection Modules

SELECT * FROM banking_fraud_matrix
BNK-CHK-01
BANKING MODULE

Check Image Verification

Analyze deposited check images for synthetic generation, digit alteration, and payee field manipulation using deep pixel analysis calibrated against thousands of authentic check formats.

CHECK FRAUDDIGIT ANALYSISPAYEE VERIFICATION
BNK-RDC-02
BANKING MODULE

Remote Deposit Capture Fraud

Intercept fraudulent mobile deposit images including duplicate submissions, digitally fabricated checks, and photo-of-screen captures designed to circumvent basic OCR validation.

MOBILE DEPOSITDUPLICATE DETECTIONCAPTURE ANALYSIS
BNK-IDS-03
BANKING MODULE

Identity Document Scanning

Validate driver licenses, passports, and state IDs submitted during account opening by examining hologram patterns, barcode encoding, and facial photo integrity at the sub-pixel level.

KYC ONBOARDINGHOLOGRAM DETECTIONBARCODE VALIDATION
BNK-SIG-04
BANKING MODULE

Signature Forgery Detection

Compare submitted signatures against enrolled baselines using stroke trajectory modeling, pressure variance analysis, and AI-driven anomaly scoring to detect traced or generated forgeries.

STROKE ANALYSISSIGNATURE BASELINEFORGERY SCORING
BNK-STM-05
BANKING MODULE

Statement Tampering Analysis

Scan internal and third-party account statements for pixel splicing, font substitution, and inconsistent rendering patterns that indicate post-production alteration of financial records.

TAMPER DETECTIONFONT ANALYSISPIXEL FORENSICS
BNK-KYC-06
BANKING MODULE

KYC Image Validation

Enforce comprehensive Know Your Customer image standards by verifying selfie liveness, cross-matching facial embeddings to submitted IDs, and detecting GAN-synthesized portrait photos.

FACIAL MATCHINGLIVENESS DETECTIONGAN SCREENING
TRANSACTION INTELLIGENCE

Real-Time Image Forensics at Scale

Fraudulent check images alone cost U.S. banks over $18 billion in 2025. Remote deposit capture has made it trivially easy to submit AI-fabricated check photos from a smartphone. Sightova operates inline with your core banking middleware to flag synthetic imagery before it reaches clearing.

  • Detect digitally generated check images with altered MICR lines, payee fields, and endorsement zones.
  • Cross-reference deposited check image hashes against a shared fraud consortium to catch duplicate deposit schemes.
  • Generate audit-ready forensic reports that satisfy OCC, FDIC, and FFIEC examination requirements.
BANKING FRAUD ANALYSIS — RESPONSE
{
  "analysis_id": "bnk_c4e91a37f8d2",
  "channel": "remote_deposit_capture",
  "check_image": {
    "front_verdict": "SYNTHETIC",
    "confidence": 0.971,
    "micr_integrity": false,
    "signals": [
      "artificial_paper_texture",
      "payee_field_pixel_splice",
      "amount_digit_inconsistency"
    ]
  },
  "signature_match": {
    "enrolled_baseline": "SIG-0042-enrolled",
    "similarity_score": 0.34,
    "verdict": "FORGERY_SUSPECTED"
  },
  "duplicate_hash_match": true,
  "consortium_flag": "SEEN_AT: rival_bank_02",
  "action": "HOLD_FOR_REVIEW"
}

Secure Your Banking Operations

Deploy AI-powered image forensics across check processing, KYC onboarding, and signature verification. Give your CRO team the tooling to stop fraud at the image layer.

Start Free Trial View All Solutions