Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Frame represents a groundbreaking approach to security awareness, designed to protect against AI-driven threats by understanding your organization and delivering tailored security training, simulations, and deepfake scenarios within minutes. In contrast to traditional awareness solutions that depend on one-size-fits-all resources, Frame creates training programs and simulations that reflect your specific environment, including the threats you face, your policies, employee roles, technological infrastructure, and actual organizational context. This innovative platform prepares employees for a wide array of challenges, extending beyond just phishing to include personalized training on deepfake recognition, AI-fueled social engineering tactics, secure coding practices, advanced threats, compliance issues, privacy concerns, developer education, and the latest security news relevant to your industry. The simulations provided by Frame are highly realistic, as they are developed using your organization's specifics, resulting in authentic phishing emails, voice interactions, and deepfake videos, all designed with adaptive difficulty levels that adjust to each employee's skill set. Furthermore, Frame employs multichannel campaigns that effectively simulate the tactics used by real-world adversaries, ensuring that your workforce is thoroughly prepared for the evolving landscape of cybersecurity threats.
API Access
Has API
No
API Access
Has API
No
Integrations
Gmail
No
Google Cloud Platform
No
Microsoft 365
No
Microsoft Outlook
No
Microsoft Teams
No
Slack
No
Integrations
Gmail
Yes
Google Cloud Platform
Yes
Microsoft 365
Yes
Microsoft Outlook
Yes
Microsoft Teams
Yes
Slack
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
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
Frame
Country
United States
Website
framesecurity.com
Product Features
Product Features
Security Awareness Training
Analytics / Reporting
No
Certification Training
No
Custom Test Building
No
Gamification
No
Industry Benchmarking
No
Non-Email Based Testing
No
Online Courses
No
Phishing Simulation
No
Pre-Assessments
No
Prebuilt Training Library
No