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What is Diopter?

Diopter brings endpoint detection and response (EDR) to the human layer. Instead of protecting devices, it protects the conversations where attackers now strike: live video meetings and voice calls. AI makes it easy to clone an executive's voice, fake a job candidate on camera or pressure a help desk agent into resetting MFA. Diopter analyses every participant for the length of the call, verifying identity, spotting AI-generated voice and video, recognising social engineering tactics such as false authority, urgency and isolation, and checking each request against company policy. When a call turns risky, the security team gets a live alert with evidence and a recommended next step. It works with Zoom, Teams, Google Meet, Webex, Dialpad, RingCentral and carrier voice, deploys via MDM in the cloud, hybrid or on-prem, and is SOC 2 Type II certified.

What is DeepFake-o-meter?

An innovative platform equipped with state-of-the-art techniques for identifying deepfakes is now accessible for public use. Users have the capability to upload one video file from their computer at a time. Deepfakes refer to AI-generated altered media that can create deceptive portrayals of individuals and their behaviors, which can lead to serious consequences if exploited. The DeepFake-o-meter, developed by the UB Media Forensics Lab, is an open-source solution aimed at detecting deepfake technologies produced by external sources. It provides an intuitive service that analyzes deepfake content utilizing various sophisticated detection methods, ensuring that results are generated securely and confidentially. In addition, it includes an API framework that allows developers to incorporate their deepfake detection algorithms and run them on a remote server. This platform not only supports developers but also acts as a crucial resource for researchers in the field of digital media forensics, allowing them to evaluate and compare the effectiveness of different detection algorithms. By fostering collaboration and innovation, this comprehensive approach significantly strengthens efforts against the irresponsible use of deepfake technology. As a result, it contributes to a safer digital environment where misinformation can be effectively challenged.

Media

Media

Integrations Supported

Google Meet
Microsoft Teams
Slack
Zoom

Integrations Supported

API Availability

API Availability

Pricing Information

Contact for pricing

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Diopter AI

Date Founded

2026

Company Location

United States

Company Website

diopter.ai

Company Facts

Organization Name

UB Media Forensics Lab

Date Founded

2020

Company Location

United States

Company Website

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

Categories and Features

Deepfake Detection

Not specified

Categories and Features

Deepfake Detection

Not specified

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