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features
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support

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Description

AWS CloudTrail serves as a vital tool for managing governance, compliance, operational audits, and risk assessments within your AWS account. By utilizing CloudTrail, users can log, monitor continuously, and keep a record of account activities associated with various actions throughout their AWS environment. It offers a detailed event history of activities within the AWS account, encompassing actions performed via the AWS Management Console, AWS SDKs, command-line tools, and other AWS services. This comprehensive event history enhances the security analysis process, allows for tracking resource changes, and aids in troubleshooting efforts. Moreover, CloudTrail can be leveraged to identify atypical behaviors within your AWS accounts, streamlining operational assessments. You can identify unauthorized access by examining the Who, What, and When aspects of CloudTrail Events, and respond effectively with rules-based alerts through EventBridge and automated workflows. Additionally, the service supports the continuous monitoring of API usage patterns using machine learning models to detect unusual activity, enabling you to ascertain the root cause of security incidents and maintain the integrity of your cloud environment. These features collectively strengthen the security posture and operational efficiency of your AWS infrastructure.

Description

Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Storage Gateway Yes 
Amazon Detective Yes 
Apigene Yes 
Cloud Assessor Yes 
Coralogix Yes 
CorralData Yes 
Cybraics Yes 
Daylight Yes 
Elastic Observability Yes 
FireHydrant Yes 
Google Digital Risk Protection Yes 
Gurucul Yes 
Integrate.io Yes 
Latitude Yes 
Nightfall Yes 
Parny Yes 
Qevlar AI Yes 
Sekoia.io Yes 
Squadcast Yes 
Uptycs Yes 

Integrations

AWS Storage Gateway No 
Amazon Detective No 
Apigene No 
Cloud Assessor No 
Coralogix No 
CorralData No 
Cybraics No 
Daylight No 
Elastic Observability No 
FireHydrant No 
Google Digital Risk Protection No 
Gurucul No 
Integrate.io No 
Latitude No 
Nightfall No 
Parny No 
Qevlar AI No 
Sekoia.io No 
Squadcast No 
Uptycs No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1,400 one-time payment
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/cloudtrail/

Vendor Details

Company Name

MedCXO

Country

United States

Website

medcxo.com/fraud/

Product Features

API Management

API Design No 
API Lifecycle Management No 
Access Control No 
Analytics No 
Dashboard No 
Developer Portal No 
Testing Management No 
Threat Protection No 
Traffic Control No 
Version Control No 

Cloud Management

Access Control No 
Billing & Provisioning No 
Capacity Analytics No 
Cost Management No 
Demand Monitoring No 
Multi-Cloud Management No 
Performance Analytics No 
SLA Management No 
Supply Monitoring No 
Workflow Approval No 

Log Management

Archiving No 
Audit Trails No 
Compliance Reporting No 
Consolidation No 
Data Visualization No 
Event Logs No 
Network Logs No 
Remediation No 
Syslogs No 
Thresholds No 
Web Logs No 

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

Alternatives

Alternatives

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EagleEye

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Fraud.net, Inc.
FraudPoint Reviews

FraudPoint

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