Banking & ATM Crime Prevention

ATMs remain a high-value target: card trapping, shoulder surfing, coercion, and abuse of genuinely issued cards by someone who is not the accountholder. Traditional PIN-and-card checks cannot tell you whether the person at the glass is the same individual your KYC file describes.

Safeza AVA-X closes that gap by scoring live face capture against the identities and risk signals you already maintain—customer due diligence records, business counterparties (KYB), and sanctions or AML watchlists—at the moment of the transaction, not only in next-day batch jobs.

The objective is straightforward: raise a high-confidence signal when the presenter, the plastic, and the profile do not align—so fraud operations and branch teams can intervene, step-up verify, or block according to your policy.

Face analysis at the channel is most powerful when it is fused with the same customer and compliance data you rely on elsewhere. Safeza AVA-X is built to sit in that loop—not as a standalone gadget, but as a real-time decision support layer.

• Live match to KYC portraits and attributes
  Compare the subject at the ATM to onboarding images and structured KYC fields held in your core or identity vault—flagging mismatches that suggest stolen credentials or third-party use of a legitimate card.
• KYB and business relationships
  For corporate cards and SME accounts, correlate presenters against beneficial-owner and signatory records so business plastic is not cashed out by actors outside the registered relationship.
• AML and sanctions databases in real time
  We support integration paths so hits against PEP, sanctions, internal watchlists, and high-risk typologies can be evaluated alongside the biometric score—giving compliance a single, time-stamped picture at withdrawal or balance inquiry.
• Risk-tiered step-up
  Combine match confidence with transaction amount, geography, and device signals to route low-friction traffic while escalating only the interactions that breach your thresholds.
• Forensic continuity
  Retain encrypted captures and decision metadata under your retention rules to support investigations, regulatory dialogue, and model governance.

• Speed and availability
  Cardholders expect sub-second authorization; biometric and database lookups must meet your latency budget without queuing at peak hours.
• Outdoor and night conditions
  Canopies, glare, hoods, and poor light stress naive detectors—field-hardened models and camera placement guidance matter.
• Data minimization
  Regulators expect purpose limitation and retention discipline. Processing at the edge or in-region, with explicit lawful basis, is often mandatory.
• False positives and customer friction
  Over-aggressive blocking drives complaints; tuning policies, fallback paths, and human review queues is as important as raw accuracy.

Our stack is engineered for banking-grade throughput and auditability: Swiss-developed recognition cores, APIs that map to your decision engines, and deployment models that keep sensitive biometrics inside your perimeter when required.

Whether you are hardening a national ATM fleet or piloting a flagship branch line, we work with your architecture, fraud, and compliance teams to define match thresholds, list sources, and escalation playbooks—so real-time KYC/KYB/AML alignment becomes an operational advantage, not a science project.