\ Technology

A Revolutionary Multi-Model Approach

Reality Defender employs an ensemble of models to create a robust and emboldened deepfake detection system, identifying a wide array of content using hundreds of simultaneous patented techniques.

Images

Anyone with internet access and ill intent can create a damaging AI-generated photo.

Reality Defender’s robust Image Deepfake Detection analyzes photos at the pixel level, concurrently employing multiple models for each photo to determine its authenticity (or lack thereof). Explainable AI adds a layer of analysis, providing invaluable insights to help our clients take action against fraud.

3.2B

Images uploaded daily to the internet

90%

Content expected to be AI generated by 2026

Common AI threats

Voice Cloning

Identity Theft

Faceswapping AI

Our image models in action

Type

Image

Format

.jpg

Diffusion

Possible
Manipulation %

99%

Manipulation Detected

Visual Noise

Possible
Manipulation %

1%

Unable to detect
manipulation

GAN

Possible
Manipulation %

1%

Unable to detect
manipulation

Faceswapping

Possible
Manipulation %

1%

Unable to detect
manipulation

Analysis:

Manipulation Detection

Video

How can you believe what you see in the age of video deepfakes?

By analyzing each face and each scene, Reality Defender’s Video Deepfake Detector shows you crucial information to help your team assess the truth of each file, one frame at a time.

720k

Hours of video uploaded daily

80%

Organizations worried about deepfake videos

Common AI threats

Voice Cloning

Identity Theft

Faceswapping AI

Our video models in action

Type

video

Format

.mp4

Face Blending

Possible
Manipulation %

1%

Unable to detect
manipulation

Universal

Possible
Manipulation %

99%

Manipulation detected

Analysis:

Manipulation Detection

Audio

Voice cloning is as easy as pressing a button. Incidents of voice fraud with AI-generated voice deepfakes is growing at an unprecedented rate, with newfound concerns for risk, security, and authentication teams.

Reality Defender’s real-time voice detection helps call centers, verification teams, and trust and safety squads assess truth and catch fraudsters in the act and at scale.

1/4

Cannot tell real audio from fake

3s

Audio needed to clone a voice

Common AI threats

Voice Cloning

Identity Theft

Faceswapping AI

Our audio models in action

Type

audio

Format

.mp3

Foundational

Possible
Manipulation %

78%

Manipulation detected

Advanced

Possible
Manipulation %

89%

Manipulation detected

Analysis:

Manipulation Detection

Text

Insurance fraud. Romance scams. Phishing attacks. Fraudsters weaponize large language models (LLMs) to target ordinary citizens and enterprises. Reality Defender’s Text Detection platform shines a light on what’s real and what’s synthetic before any harm can be done.

180M

ChatGPT users

3.4B

Phishing emails sent daily

Common AI threats

Voice Cloning

Identity Theft

Faceswapping AI

Our text detection in action

Type

text

Format

.txt

Generation

Possible
Manipulation %

99%

AI-generated text detected

Faceswapping

Possible
Manipulation %

1%

Unable to detect
manipulation

Analysis:

Manipulation Detection

Intuitive deepfake detection for all media types
01
Scan one file (or one billion)

Our web platform gives users instant access to piecemeal scans when they need it most. The platform-agnostic Reality Defender API lets your organization upload a firehose of content and scale your detection capabilities on demand.

02
A multi-pronged approach

Instead of using one model to find fakes, Reality Defender uses a patented multi-model approach, looking at every file from every conceivable angle with industry-leading precision.

03
Actionable results

Our color-coded models give users the probability of AI manipulation, allowing clients to take informed and data-driven next steps. PDF reports and score cards help visualize the results of each scan. 

Seamless integration. Unrivaled performance.

Web Application

Easily scan potential points of fraud with our intuitive drag-and-drop web application, which allows users to quickly scan individual files and access robust results.

API

Build deepfake detection into your product with an API that utilizes infrastructure as code, to scale as needed. Latency demands can be customized to your users’ requirements.

Leading Deepfake Detection

Proactive, Not Reactive

Our Research team builds models based on the technologies used to create the dangerous deepfakes of today and tomorrow, keeping our platform several steps ahead of bad actors.

Always Ready

The Reality Defender team continues to update, upgrade, improve, and iterate on our models, delivering industry-leading detection capabilities.

Platform Agnostic

The Reality Defender API easily plugs into whatever backend or system you’re using, allowing you to scan a firehose of content in real time.

Effortlessly Scalable

Whether you’re scanning five files or five billion, Reality Defender can instantly scale to your organization’s needs.

Go Deeper

See what our models see with every result. Now available for image and text detection.

\ Solutions by Industry
Reality Defender’s purpose-built solutions help defend against deepfakes across all industries

Why Reality Defender?

Robust Detection

See the complete picture behind every file with our comprehensive “ensemble of models” approach to detection.

Turnkey Defense

Hook your system into ours with an encrypted API, or scan deepfakes in our web app.

Results That Matter

Access real-time risk scoring, email alerts, and reporting for all media types.

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