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What is Mitek?

Mitek Systems is a pioneering company specializing in AI-driven identity verification and fraud prevention solutions designed to secure digital interactions across various industries such as banking, fintech, lending, marketplaces, and iGaming. Their comprehensive platform integrates biometric technologies like face, voice, and document liveness detection with geolocation and multiple fraud detection capabilities, including advanced check fraud and synthetic identity fraud prevention. By leveraging AI and machine learning, Mitek helps businesses identify and stop account takeover attempts and other fraudulent activities quickly, reducing financial losses and protecting customer trust. The no-code integration platform enables organizations to easily embed Mitek’s solutions into their workflows, accelerating customer onboarding while ensuring compliance with regulatory frameworks such as KYC, AML, and age verification. Mitek also offers passwordless authentication and reusable identity solutions to improve security without compromising user convenience. With dynamic dashboards, real-time fraud insights, and extensive reporting features, the platform empowers businesses to maintain audit readiness and compliance. The company’s broad customer base includes over 7,900 organizations worldwide, reflecting its leadership in digital fraud defense and identity verification innovation. Mitek supports various partner programs including OEM, reseller, and referral to collaborate closely with businesses. Additionally, Mitek is committed to continuous innovation, providing ongoing updates to counter emerging fraud threats. Their solutions are ISO/IEC 27001 and AICPA/SOC compliant, ensuring high standards of data security and privacy.

What is Amazon Rekognition?

Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures. Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Experian Email Verification
OneSpan Authentication Servers
OneSpan Identity Verification
Orange Logic OrangeDAM
Qrvey
Quickwork
Trendzact
Trulioo
Unremot
Visionati
n8n

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Experian Email Verification
OneSpan Authentication Servers
OneSpan Identity Verification
Orange Logic OrangeDAM
Qrvey
Quickwork
Trendzact
Trulioo
Unremot
Visionati
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mitek Systems

Date Founded

1985

Company Location

United States

Company Website

www.miteksystems.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rekognition/

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

KYC

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

Session Replay

Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation

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