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Description
An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of deepfake technology.
Description
Right-Hand offers an AI-driven platform for Human Risk Management, aimed at assisting organizations in mitigating cybersecurity threats stemming from human actions by automating and customizing security awareness initiatives. It employs a collection of AI agents to replicate actual social engineering tactics, including phishing and deepfake voice phishing, while also creating training materials and providing individualized learning experiences based on each employee's conduct and vulnerability levels. This platform seamlessly integrates with current security infrastructures such as SIEM, EDR, DLP, and email protection systems to consolidate alerts and pinpoint risky behaviors in real time, thus allowing organizations to assess and comprehend human risk throughout their teams. Furthermore, it features automated, gamified security awareness training that promotes safe practices through ongoing interaction, utilizing micro-learning segments, instant prompts, and behavior-focused interventions delivered via platforms like Slack, Teams, and email. By prioritizing tailored engagement, Right-Hand ensures that employees remain vigilant and informed about potential threats.
API Access
Has API
API Access
Has API
Integrations
Abnormal AI
Cloudflare
CrowdStrike Falcon
Microsoft Defender Antivirus
Microsoft Sentinel
Microsoft Teams
Mimecast Engage
Netskope
Proofpoint Emerging Threat (ET) Intelligence
SentinelOne Purple AI
Integrations
Abnormal AI
Cloudflare
CrowdStrike Falcon
Microsoft Defender Antivirus
Microsoft Sentinel
Microsoft Teams
Mimecast Engage
Netskope
Proofpoint Emerging Threat (ET) Intelligence
SentinelOne Purple AI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
UB Media Forensics Lab
Founded
2020
Country
United States
Website
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/
Vendor Details
Company Name
Right-Hand Cybersecurity
Founded
2019
Country
United States
Website
right-hand.ai/
Product Features
Product Features
Security Awareness Training
Analytics / Reporting
Certification Training
Custom Test Building
Gamification
Industry Benchmarking
Non-Email Based Testing
Online Courses
Phishing Simulation
Pre-Assessments
Prebuilt Training Library