Teams configure step-ups using risk thresholds, geographies, products, and policy rules. This allows you to define exactly when document verification, manual review, or EDD is required, without hardcoding logic or changing vendors.

Sardine’s configurable workflow builder enables risk-based step-up logic tied to identity signals, device and behavioral intelligence, transaction context, sanctions exposure, and entity risk scoring. You can define dynamic thresholds by jurisdiction, product line, customer segment, or regulatory requirement to ensure DocKYC, enhanced due diligence, or manual review is triggered only when material risk indicators are present.

Rules can be tested in shadow mode, backtested against historical onboarding data, and adjusted without engineering involvement. This provides compliance and risk teams with full policy control while maintaining regulatory defensibility and operational efficiency.

Sardine uses identity waterfalls and alternative signals to verify users who lack strong bureau or credit histories. This reduces false positives for legitimate users while still surfacing risk when signals do not corroborate.

Rather than relying on a single data source, Sardine orchestrates multiple global and regional identity providers in a structured waterfall model. If a primary source returns limited or inconclusive data, secondary and tertiary signals are evaluated, including phone and email intelligence, device binding, behavioral biometrics, consortium risk data, and transaction history when available.

This layered verification approach improves match rates for thin-file, young, immigrant, or credit-invisible users while preserving strong detection of synthetic identities, impersonation attempts, and mule accounts

Yes. Every decision includes contributing signals, risk factors, and reviewer actions when applicable. This creates a clear audit trail for internal quality assurance, model validation, and regulatory examinations.

Sardine provides explainable risk decisioning across KYC, KYB, and AML workflows. Each approval, decline, or escalation is supported by structured evidence including signal weights, corroboration logic, rule triggers, model outputs, and analyst notes.

This audit-ready documentation supports regulatory exams, independent model validation, internal compliance reviews, and board-level reporting. Decisions are transparent and traceable across identity, device, behavioral, and consortium risk signals.

Sardine can replace point solutions or orchestrate alongside them. Many teams consolidate multiple identity, fraud, and compliance tools into Sardine while keeping downstream AML, transaction monitoring, or case management systems intact.

The platform operates as a unified risk layer across onboarding, funding, payments, and ongoing monitoring. It integrates with core banking systems, AML transaction monitoring engines, sanctions screening providers, and case management tools through API connections.

Institutions can deploy Sardine as a full KYC orchestration platform, as a decisioning layer on top of existing vendors, or as a consolidation engine to reduce vendor fragmentation and improve signal consistency.

Sardine’s risk engine evaluates corroboration across sources rather than relying on a single match. AI agents automatically score, surface, and resolve inconsistencies when possible before cases reach analysts.

Identity verification is evaluated as a cumulative risk assessment. When discrepancies occur, such as name variations, transliteration issues, address normalization conflicts, or OCR mismatches, automated agents attempt resolution using structured corroboration logic.

Only inconsistencies that exceed defined risk thresholds are escalated for manual review. This reduces unnecessary declines and prevents operational bottlenecks while maintaining compliance rigor.

Yes. Sardine supports continuous KYC and risk-based monitoring throughout the customer lifecycle.

Beyond account opening, customers can be enrolled in automated monitoring workflows for sanctions updates, adverse media changes, behavioral risk shifts, dormant account reviews, and CDD refresh requirements.

Risk scoring adjusts dynamically as new device, behavioral, transaction, or consortium intelligence signals are observed. This enables institutions to maintain regulatory compliance without relying on manual periodic reviews.

Sardine combines identity verification with device intelligence, behavioral biometrics, and cross-industry risk signals to detect synthetic and manipulated identities.

Synthetic identities may appear legitimate within bureau data but reveal inconsistencies at the device, behavioral, or consortium level. Sardine identifies anomalies such as identity and device mismatch, emulator usage, deepfake document artifacts, scripted behavioral patterns, and mule network linkages.

This multi-layered detection model strengthens KYC onboarding controls against emerging AI-enabled fraud without introducing unnecessary friction for legitimate users.

False positives are reduced through risk-based orchestration, identity waterfalls, and cross-signal corroboration.

Instead of escalating every discrepancy, Sardine evaluates cumulative risk context across identity attributes, device intelligence, behavioral patterns, and consortium intelligence. AI agents resolve low-risk mismatches such as minor spelling variations, formatting inconsistencies, or OCR discrepancies.

This improves match rates, shortens onboarding time, and reduces manual review queues while maintaining strong fraud detection standards.

Sardine is designed to support global regulatory frameworks including CIP, CDD, EDD, BSA, AML, sanctions screening, and intelligence sharing requirements under applicable legal standards.

The platform provides audit-ready documentation, explainable decisioning, configurable risk policies, and jurisdiction-specific controls. Teams can align onboarding workflows with regional regulatory requirements while maintaining centralized governance and oversight.

This enables financial institutions, fintechs, sponsor banks, and regulated marketplaces to scale KYC operations without sacrificing compliance integrity.