DeepFake-o-meterUB Media Forensics Lab
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Related Products
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About
An open platform integrating state-of-the-art deepfake detection methods. You can upload a video from your computer, note that should upload only one video each time. Deepfakes refer to AI-synthesized fake media, by creating illusions of an individual's presence and activities that did not occur in reality, deepfakes can cause real harm when they are weaponized. DeepFake-o-meter is an open source and user-friendly online platform developed by the UB Media Forensics Lab to detect third-party deepfake algorithms. For users, it provides a convenient service to analyze deepfake media with multiple state-of-the-art detection algorithms, with secure and private delivery of the analysis result. For developers of deepfake detection algorithms, it provides an API architecture to wrap individual algorithms and run them on a remote machine. For researchers of digital media forensics, it is an evaluation/benchmarking platform to compare the performance of multiple algorithms.
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About
Right-Hand is an AI-powered Human Risk Management platform designed to help organizations reduce cybersecurity risks caused by human behavior by automating and personalizing security awareness programs. It uses a fleet of AI agents to simulate real-world social engineering attacks such as phishing and deepfake vishing, generate training content, and deliver targeted learning experiences tailored to each employee’s behavior and risk profile. It integrates with existing security tools, including SIEM, EDR, DLP, and email security systems, to aggregate alerts and identify risky user actions in real time, enabling organizations to measure and understand human risk across their workforce. It provides automated, gamified, and personalized security awareness training that reinforces safe behaviors through continuous engagement, using micro-learning modules, real-time nudges, and behavior-based interventions delivered through channels like Slack, Teams, and email.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Researchers and any user in search of a tool to detect and analyze deepfake media
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Audience
Security and IT teams who need to reduce employee-driven cybersecurity risks by automating training, simulations, and behavior-based threat prevention
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationUB Media Forensics Lab
Founded: 2020
United States
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/
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Company InformationRight-Hand Cybersecurity
Founded: 2019
United States
right-hand.ai/
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Alternatives |
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Categories |
Categories |
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Integrations
Abnormal AI
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Microsoft Teams
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SentinelOne Purple AI
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Integrations
Abnormal AI
Cloudflare
CrowdStrike Falcon
Microsoft Defender Antivirus
Microsoft Sentinel
Microsoft Teams
Mimecast Engage
Netskope
Proofpoint Emerging Threat (ET) Intelligence
SentinelOne Purple AI
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