About GetReal Security

GetReal Security offers a digital content verification platform to detect AI-driven deception and impersonation. Its multi-dimensional analysis of content authenticity, origin, and manipulation restores trust in digital assets for enterprises, government agencies, and media organizations.

<problem> The proliferation of generative AI has led to sophisticated deepfakes and impersonation attacks, undermining trust in digital communications and business processes. Detecting these synthetic media threats requires advanced analytical capabilities beyond traditional authentication methods. </problem> <solution> GetReal Security provides a comprehensive digital content verification platform designed to counter AI-driven deception and impersonation. Our multi-dimensional approach analyzes content authenticity, origin, and manipulation through a combination of credential, pixel, physical, and provenance analysis. This layered defense strategy enables organizations to restore trust in their digital assets and protect against evolving synthetic media threats. We offer tools that go beyond simple metadata checks to provide deep forensic analysis of images, audio, and video. </solution> <features> - Content Credential Analysis: Verifies authenticity and origin by identifying embedded signatures, watermarks, or C2PA credentials. - Pixel Analysis: Detects manipulation through examination of pixel-level signals, compression artifacts, and editing software inconsistencies. - Physical Analysis: Assesses the content's physical environment for inconsistencies with real-world context. - Provenance Analysis: Traces the content's journey and packaging for contextual verification. - Semantic Analysis: Evaluates content for contextual meaning and coherence. - Human Signals Analysis: Inspects content for faces and other human attributes for targeted analysis. - Biometric Analysis: Conducts identity-specific analysis using face and voice modeling. - Behavioral Analysis: Compares patterns in human behavior and interactions to identify inconsistencies. - Environmental Analysis: Assesses physical surroundings for context and 3D authenticity. - Integration with Google SynthID: Incorporates SynthID extraction capabilities for enhanced AI-generated content detection. </features> <target_audience> Our primary customers are enterprises, government agencies, and media organizations seeking to validate the integrity of digital content and protect against misinformation and impersonation. </target_audience>

What does GetReal Security do?

Where is GetReal Security located?

GetReal Security is based in San Mateo, United States.

How much funding has GetReal Security raised?

GetReal Security has raised 17500000.

Location

San Mateo, United States

Funding

17500000

Employees

48 employees

Major Investors

Forgepoint Capital

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GetReal Security

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Executive Summary

getrealsecurity.com 3K+

Crunchbase

San Mateo, United States

Funding

Estimated Funding

$10M+

Major Investors

Forgepoint Capital

Team (40+)

No team information available.

Company Description

Problem

The proliferation of generative AI has led to sophisticated deepfakes and impersonation attacks, undermining trust in digital communications and business processes. Detecting these synthetic media threats requires advanced analytical capabilities beyond traditional authentication methods.

Solution

GetReal Security provides a comprehensive digital content verification platform designed to counter AI-driven deception and impersonation. Our multi-dimensional approach analyzes content authenticity, origin, and manipulation through a combination of credential, pixel, physical, and provenance analysis. This layered defense strategy enables organizations to restore trust in their digital assets and protect against evolving synthetic media threats. We offer tools that go beyond simple metadata checks to provide deep forensic analysis of images, audio, and video.

Features

Content Credential Analysis: Verifies authenticity and origin by identifying embedded signatures, watermarks, or C2PA credentials.

Pixel Analysis: Detects manipulation through examination of pixel-level signals, compression artifacts, and editing software inconsistencies.

Physical Analysis: Assesses the content's physical environment for inconsistencies with real-world context.

Provenance Analysis: Traces the content's journey and packaging for contextual verification.

Semantic Analysis: Evaluates content for contextual meaning and coherence.

Human Signals Analysis: Inspects content for faces and other human attributes for targeted analysis.

Biometric Analysis: Conducts identity-specific analysis using face and voice modeling.

Behavioral Analysis: Compares patterns in human behavior and interactions to identify inconsistencies.

Environmental Analysis: Assesses physical surroundings for context and 3D authenticity.

Integration with Google SynthID: Incorporates SynthID extraction capabilities for enhanced AI-generated content detection.

Target Audience

Our primary customers are enterprises, government agencies, and media organizations seeking to validate the integrity of digital content and protect against misinformation and impersonation.