Deepfake Detection Software for Enterprise | GetReal Security

Stop blindly trusting who's on the other side of the screen.

With GenAI anyone can look and sound like you.

Bring zero-trust security to the human layer and easily stop deepfakes, imposter candidates, fraud and insider threats before the damage is done.

Stop imposters now

The signals we use to trust identity are broken

Work is now remote

Video and voice replaced in-person interactions.

Identity is still something we assume based on what we see and hear.

Social engineering attacks continue.

North Korean fake candidates and Scattered Spider MGM attacks demonstrate how easily human controls are bypassed.

Gen AI can deepfake anyone now.

Rapid advancements enable real-time cloning of faces and voices with near-perfect accuracy.

Impersonations now look and sound legitimate.

Security has not adapted.

Authentication protects accounts and devices.

It does not verify the human on the screen or phone.

Identity attacks are already inside your enterprise

62% of organizations have experienced a deepfake attack in the past 12 months.

Source: Gartner

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41% of enterprises surveyed by GetReal unknowingly hired a physical imposter

Source: GetReal Security Study

25% of all job applicants by 2028 will be fake

Source: Gartner

Understand your exposure

The GetReal Trust & Authenticity Platform (GTAP)

GetReal is the only multimodal identity defense to verify the authenticity of people in files and real-time digital interactions. By combining content analysis, continuous authentication, and adaptive policy enforcement, GetReal protects trust where business actually happens.

Multimodal Deepfake & Manipulated Media Detection
Detect manipulated and malicious synthetic media across video, voice, and image files and real-time streams. GetReal scans content to identify deepfakes, suspicious identities, and AI-generated deception with forensic-grade precision and explainability.

Real-Time Identity Authentication
Verify who someone really is during live interactions. GetReal continuously authenticates identity during video and voice calls by correlating biometric, behavioral, and context signals – adding zero-trust principles at the human layer to expose imposters in real time.

Real-Time Security Policy Enforcement
Act on identity threats the moment they appear. Apply adaptive security policies as interactions unfold while maintaining low friction and positive user experience for legitimate participants.

Threat Intelligence & Identity Threat Graph
See identity attacks as patterns, not isolated events. Map identity relationships, flag repeat attackers, and correlate signals across detections and interactions to give security teams deep visibility into identity-driven attacks across the enterprise.

Industry Awards

Recognized by Analysts

Use Cases

Three identity attacks your enterprise must stop now

  1. Fraudulent candidates are getting hired
    Deepfake interviews, synthetic voices, and fabricated identities are slipping through enterprise hiring and onboarding workflows.
    Prevent candidate fraud

  2. Trusted employees are being impersonated
    Attackers are launching social engineering attacks by cloning executive faces and voices to manipulate employees into approving payments, granting access, and bypassing controls.
    Secure high-risk interactions

  3. Account recovery is being exploited
    Bad actors are hijacking employee and customer accounts during live helpdesk interactions, and gaining access with full legitimacy.
    Secure account recovery

What appears to be a qualified candidate may be a fabricated identity with hidden intent.

Every trusted employee interaction is a potential point of exposure.

By the time credentials are used, the attacker is already inside.

Our Differentiator

Our DNA brings identity defense to the content layer

GetReal was purpose-built to operate at the content layer: the audio, video, and media streams where identity is implicitly trusted and decisions are made. Unlike legacy, AI-only black box detection methods, GetReal combines cybersecurity and digital content forensics expertise to deliver the multi-layered defense required to withstand threats of today and tomorrow.

Content Credential Analysis

We scan the content to verify authenticity, origin, and edits by identifying embedded signatures, watermarks, or C2PA credentials.

Pixel Analysis

We examine the content for pixel-level signals, compression artifacts, and inconsistencies from editing software.

Physical Analysis

We analyze the image’s physical environment for inconsistencies with the real world.

Provenance Analysis

We examine the recorded journey and packaging of content for additional context.

Semantic Analysis

We analyze the content for contextual meaning and coherence.

Human Signals Analysis

We inspect content for faces and other human attributes to run more targeted analysis.

Biometric Analysis

We conduct identity-specific analysis through face and voice modelling.

Behavioral Analysis

We compare patterns in human behavior and interactions to detect inconsistencies.

Environmental Analysis

We assess physical surroundings for context and 3D authenticity.

Timeline of deepfake deception

Events

Enterprise-grade detection and mitigation of malicious generative AI threats

“We’ve reached a pivotal moment. The need for solutions that can quickly and accurately verify and authenticate digital media has never been more critical.”

Ted Schlein,

Co-Founder and General Partner

“With the rise of GenAI and synthetic media, businesses and governments have become prime targets for the manipulation and exploitation of digital content. With GetReal, organizations can now defend against this new attack vector.”

Alberto Yépez

Co-Founder and Managing Director

Adaptive threat intelligence

Benefit from real-time forensic insights to stop zero-day impersonation attacks.

Our forensic experts continuously monitor the latest research, tools, and techniques used by threat actors to create malicious digital media. Our algorithms extract traces left by adversaries to synthetically generate or manipulate digital media and publish them to our multi-dimensional digital integrity platform.

Learn about Labs

Latest from GetReal Security

News
August 2026
The UK AI Security Institute’s latest report reveals how a single autonomous AI agent orchestrated an adaptive influence campaign using fake identities, social engineering, and technical attacks.

Blog
August 2026
The EU AI Act’s Article 50 introduces new transparency requirements for AI-generated and AI-manipulated content. Here’s what organizations need to know about compliance, machine detectability, and the limits of provenance technologies.