eftsure Features

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.

Constantly monitors system to detect anomalies in real time.

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

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.

Produces reports detailing trends and vulnerabilities related to payments and fraud.

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

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

Prevents previous committers of fraud from future transactions.

Identify employees or suppliers that are more likely to commit fraud.

Determine what risks are more likely to have a negative impact on financial transactions.

Deliver suggestions to optimize spend by limiting fraud and violations.

Automates the review of multiple types of financial transactions such as invoices, expenses, and contracts.

Determine potential financial risks such as fraud and price violations.

Align with internal policies and financial regulations to ensure compliance.

Analyze financial transactions and documents in multiple languages and currencies.

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Anticipates needs and offers suggestions without prompting

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

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.