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Average Ratings 0 Ratings

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features
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support

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Description

Cyberly serves as a human-risk management platform that prioritizes the protection of organizations by addressing the human aspect of cyber threats. It provides employees with practical training through realistic phishing and deep-fake scenarios, enabling them to identify suspicious activities like verifying the identities of recruiters, questioning unexpected software requests, and recognizing social-engineering cues. Additionally, the platform features an “AI teaching co-pilot” that actively engages teams in contemporary awareness training, moving away from old-fashioned, passive approaches to more interactive and scenario-driven exercises. By utilizing its simulations and analytical insights, Cyberly aids organizations in fostering a more robust security culture, minimizing risks associated with human error, and enhancing employee awareness in areas like phishing, identity theft, and internal threats. Ultimately, this approach not only strengthens the organization’s defenses but also empowers employees to become proactive guardians of security.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Active Directory Yes 
Microsoft Outlook Yes 
Microsoft Teams Yes 
Okta Yes 
Slack Yes 

Integrations

Active Directory No 
Microsoft Outlook No 
Microsoft Teams No 
Okta No 
Slack No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Cyberly

Founded

2023

Country

United States

Website

cyberly.ai/

Vendor Details

Company Name

UB Media Forensics Lab

Founded

2020

Country

United States

Website

zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/

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 

Product Features

Alternatives

Alternatives