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What is Sokratech?

Sokratech is an innovative real-time fraud detection solution customized for banks and financial institutions. It analyzes transactions swiftly, making decisions in under 250 milliseconds by utilizing a no-code rules engine, machine learning risk evaluations, and adaptable workflows, which empowers fraud teams to address new threats in mere minutes rather than enduring prolonged release cycles. Key features include ongoing transaction monitoring, governance of rules and models with detailed audit trails, transparent decision-making that meets regulatory and audit standards, and efficient case management for fraud investigations. Tailored to satisfy the compliance and data residency demands of regulated financial organizations, Sokratech guarantees that these institutions uphold elevated security and accountability measures. The platform is accessible via API and smoothly integrates with core banking and payment systems, enabling organizations to adopt it rapidly without needing to revamp their existing infrastructure and processes, thereby improving their overall operational efficiency. Additionally, Sokratech's user-friendly interface simplifies the management of fraud detection, allowing teams to focus on strategic responses over routine administrative tasks.

What is CPA Fraud Detection Service?

Benford's law is an effective method for revealing patterns that may indicate fraudulent disbursements. It requires the analysis of audit trail reports from accounting software such as QuickBooks to identify suspicious actions like voids and deletions. Moreover, it also includes the detection of multiple payments made for the same amount on a single day. A comprehensive examination of payroll runs is performed to find any discrepancies, particularly payments that exceed designated salary or hourly rates. Payments made on days when businesses are closed are given extra attention. By employing statistical analyses, outliers that could point to fraud are uncovered, and duplicate payments are verified for accuracy. Furthermore, vendor files in accounts payable are scrutinized for names that may appear strikingly similar, leading to investigations into potential fictitious vendors. Comparisons of vendor addresses and payroll information are assessed through Z-Scores and relative size factor tests. Although data monitoring and unexpected audits have proven to significantly mitigate fraud losses, merely 37% of organizations have implemented these vital controls. For smaller businesses with fewer than 100 employees, the average estimated loss attributed to fraud stands at $200,000, underscoring the fact that these enterprises typically lack sufficient resources to effectively identify and respond to fraudulent activities. Therefore, it becomes crucial for small businesses to embrace more robust fraud detection strategies to protect their financial health and ensure long-term sustainability. By doing so, they can not only detect irregularities but also foster a culture of transparency and accountability within their operations.

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$1,400 one-time payment

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

On-Site Training

Company Facts

Organization Name

Sokratech

Company Location

Singapore

Company Website

sokratech.io

Company Facts

Organization Name

MedCXO

Company Location

United States

Company Website

medcxo.com/fraud/

Categories and Features

Fraud Detection

Not specified

Categories and Features

Fraud Detection

Not specified

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