Oscilar 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.

Provides the ability to integrate data and transform data in order to facilitate decision-making. 11 reviewers of Oscilar have provided feedback on this feature.

Based on 11 Oscilar reviews. Allows the user to connect to variety of applications across the business.

As reported in 11 Oscilar reviews. Allows users to write and edit business rules using business language, decision tables, etc.

Confirms whether your rules are executing as expected through testing them. 11 reviewers of Oscilar have provided feedback on this feature.

Based on 11 Oscilar reviews. Provides the ability to create or integrate with predictive models.

Stores business rules in a catalog, to ensure business users can access them in their latest version. 10 reviewers of Oscilar have provided feedback on this feature.

As reported in 11 Oscilar reviews. Gives users the ability to collaborate on decision management, such as the ability to work simultaneously or annotate models.

Analyzes and compares the impact of automated decisions.` 11 reviewers of Oscilar have provided feedback on this feature.

Based on 10 Oscilar reviews. Provides tools for simulating rules on real or fictitious operational data, and use the results to assess and refine the behavior of the rules.

Allows one to create or host applications built on top of business rules.

Provides APIs or other development tools for integrating with other applications. This feature was mentioned in 11 Oscilar reviews.

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.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary. This feature was mentioned in 10 Oscilar reviews.

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

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives