Sardine Features

Rates each transaction's risk based on specific factors and their benchmarked scores.

Flags suspicious transactions and either alerts administrators or declines transaction.

Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.

Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Finds patterns in common occurrences of fraud to use when evaluating risk of purchasers.

Alerts administrators when fraud is suspected or transactions have been declined.

Constantly monitors system to detect anomalies in real time.

As reported in 18 Sardine reviews. Requires verification of credit card, debit card, and money transfers prior to accepting payments

Monitors for and rids systems of bots suspected of committing fraud. 18 reviewers of Sardine have provided feedback on this feature.

As reported in 19 Sardine reviews. Constantly monitors system to detect anomalies in real time.

Based on 16 Sardine reviews. Alerts administrators when fraud is suspected or transactions have been declined.

Keeps records of geographic location and IP addresses of fraud suspects.

Tags users suspected of committing fraud and identifies them upon return.

Prevents previous committers of fraud from future transactions.

Monitors for and rids systems of bots suspected of committing fraud.

Based on 17 Sardine reviews. Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud. This feature was mentioned in 18 Sardine reviews.

Based on 16 Sardine reviews. Produces reports detailing trends and vulnerabilities related to payments and fraud.

Based on 18 Sardine reviews. Tags users suspected of committing fraud and identifies them upon return.

As reported in 18 Sardine reviews. Rates each transaction's risk based on specific factors and their benchmarked scores.

Prevents previous committers of fraud from future transactions. 19 reviewers of Sardine have provided feedback on this feature.

Encrypts all data transfers using end-to-end encryption.

Provides audit trails to monitor useage to reduce fraud.

Complies with regulations for strong customer authentication such as KYC, PSD2, and others.

Keep identity attributes consistent across applications whether the change is made in the provisioning system or the application.

Enables administrators to create access policies and applies policy controls throughout request and provisioning processes.

Provides or integrates with a cloud based directory option that contains all user names and attributes.

Integrates with common applications such as service desk tools.

Connections use open standards such as SAML or RADIS.

Offers developers a mobile software development kit to seamlessly add biometric authentication into their applications.

Integrates with identity and access management (IAM) solutions to manage workforce authentication.

Integrates with customer identity and access management (ICAM) solutions to manage customer authentication.

The solution uses intelligent algorithms like fuzzy matching to identify potential risks.

Create watchlists that can include sanctions lists (e.g., Dow Jones, WorldCheck, WorldCompliance, and Accuity).

Score persons and organizations based on their history and risk potential.

Pool data from various sources to auto-populate e-filing of Suspicious Activity Report (SAR) or Currency Transaction Reports (CTR) forms.

Standard workflows to assign workload and to alert users based on predefined triggers.

Manage due dilligence processes such as Customer Due Diligence and Know Your Customer.

Comply with regulations from multiple jurisdictions such as OFAC, UN, EU, OSFI, UK and AUSTRAC or FATCA.

Compliance with fraud and risk management policies created by the company using the solution.

Create behavior models that can be used to detect suspicious behavior.

Simulate and validate scenarios to address multiple types of risks.

Real-time transaction screening to immediately identify potential risks.

Allows users to segment and manage lists of suspicious persons and organizations.

Evaluate the quality and performance of the anti-money laundering activities.

Ability to generate standard reports for compliance purposes such as FATCA/CRS, SARS/STR and SWIFT.

Display suspicious activity by period, risk type, person or organization.

Dashboards to provide real-time data on suspicious transactions, persons, or organizations.

Has integreated AI features to assess and assign risk scores to transactions and customer profiles, enabling prioritized investigations based on potential threat levels.

Uses AI algorithms to identify complex patterns and anomalies in transaction data that may indicate money laundering.

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Monitors both incoming and outgoing payments to detect fraud, such as fake payees, bank accounts, or unathorized users.

Reviews every transaction in real‑time using rules, pre-defined criteria or a combination of signals to block, flag, or allow transactions.

Allows configuring custom rules/thresholds and adjusting sensitivity for different types of transactions.

Uses documents, biometrics, or device fingerprinting to verify that a user is who they claim to be.

Detects unusual login or credential usage and requires additional authentication when a risk is present.

Builds behavioral baselines to detect deviations in transactions and device usage.

Monitors and blocks automated fraud bots, such as creating fake accounts.

Tracks actions of users, rule changes, and other system events in secure logs

Generates customlizable reports for regulatory requirements and ongoing compliance.

Supports multi-method identity verification including documents, biometrics, and database cross-checks.

Performs automated document authentication using OCR and AI/ML.

Conducts biometric face matching (selfie-to-ID verification).

Offers identity verification functionality via API, SDK, or hosted interface.

Provides configurable identity verification workflows and logic-based orchestration.

Offers liveness detection to prevent spoofing and presentation attacks.

Generates real-time identity risk scores using AI/ML or rule-based logic.

Detects fraudulent or tampered documents through forensic analysis.

Supports compliance with NIST Identity Assurance Levels (IAL2, IAL3).

Integrates AML, PEP, and sanctions list screening into the identity verification process.

Supports global identity document verification across multiple countries and regions.