Deepfakes, synthetic audio, and fake news campaigns used to be the stuff of sci-fi thrillers. But today, as AI tools get smarter and smarter, the line between what’s real and what’s artificial is disappearing fast.
And for global businesses, it’s a credibility crisis just waiting to happen.
This is why TruthScan was created: to help organizations detect and defend themselves against real-life AI threats.
So in this guide, we’re breaking down exactly how TruthScan’s corporate AI detection technology works, why more and more businesses are adopting it, and how it performs in real-world testing.
TL: DR – TruthScan can detect AI-generated content in text, voice, video, and images, helping large-scale organizations protect themselves against financial loss, data breaches, and reputational harm caused by AI.
Key Takeaways
- TruthScan helps enterprises detect AI-generated content across text, images, voice, and video.
- Built for large organizations, it protects against fraud, data breaches, and misinformation.
- Uses multimodal AI models and confidence scoring for precise, real-time content verification.
- Delivers 96% detection accuracy with instant alerts and seamless workflow integration.
- Ideal for finance, media, government, and cybersecurity sectors needing large-scale AI defense.
- Enables proactive protection of brand credibility and operational integrity in the AI era.
What Is TruthScan?
TruthScan is an AI fraud detection and content verification platform.
It was built specifically for large enterprises, with the primary goal being to help organizations identify, monitor, and respond to AI-generated or manipulated media before it causes any operational or reputational damage.
Currently, TruthScan can detect AI-generated content across multiple formats, including text, images, video, and voice/audio.
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This means it’s not limited to scanning documents or written materials; it can also verify the authenticity of media submissions, voice notes, video feeds, marketing assets, and more.
Mission and Core Purpose
TruthScan’s mission is simple: to protect organizations from the growing risks of AI-driven fraud and deception.
It does this by helping organizations integrate AI verification steps directly into their existing workflows. This allows teams to stay one step ahead of emerging AI threats, before it’s too late.
Who TruthScan Is For
TruthScan was built for large organizations, government agencies, and regulated industries that need to verify content authenticity at scale.
These are organizations where even a single piece of manipulated media could result in financial loss, compliance violations, or reputational damage.
Here are just a few of the key industries that TruthScan serves.
| TruthScan Key Industries | |
| Industry | How TruthScan Helps |
| Financial Institutions | Detects AI-generated documents, fake IDs, and fraudulent transactions. |
| Media and Journalism Organizations | Verifies the authenticity of images, videos, and quotes to prevent the spread of AI-generated misinformation. |
| Legal and Compliance Departments | Verifies the authenticity of contracts, reports, and evidence, while also maintaining a transparent, verifiable audit trail. |
| Cybersecurity Teams | Detects deepfake impersonations, AI-generated phishing emails, and malicious voice or video content designed to attack enterprise systems. |
| Government Agencies and Law Enforcement | Validates digital evidence, identifies AI-generated propaganda, and detects voice cloning and misinformation campaigns that are a threat to public trust and/or national security. |
| Casino and Gambling | Protects platforms from AI-driven cheating, fake identity verification, and manipulated visual or voice inputs used to exploit online gaming platforms. |
Why Businesses Choose TruthScan
AI-generated fraud is no longer a “future” threat; it’s already here.
That’s according to TruthScan co-founder Christian Perry, who recently said, “We’re seeing a desperately needed defense against a massive amount of malicious AI content that’s coming out, scamming people and causing harm out in the world.”
Here are just a few examples that highlight the scale of the problem:
- In the first quarter of 2025, financial losses from deepfake fraud exceeded $200 million.
- Consultants at Deloitte predict that by 2027, losses caused by generative AI fraud could reach $40 billion in the United States.
- Humans can only spot high-quality deepfake videos 24.5% of the time.
These stats show that detection tools are no longer optional for large organizations; they are essential. And businesses are turning to the experts at TruthScan for fast, high-accuracy AI detection tools.
How TruthScan’s AI Fraud Detection Works
TruthScan’s platform continuously monitors, analyzes, and verifies the authenticity of digital content. Here’s how.
Data Ingestion
Everything starts with data. TruthScan collects and processes massive volumes of digital content from multiple sources, including documents, media uploads, and API-connected systems.
Fun Fact: TruthScan has currently processed over 2B+ documents (and counting!)
Model Ensemble
Instead of relying on a single model to detect AI content, TruthScan uses an ensemble of specialized AI models, each trained on different media types and manipulation patterns.
For example, text models analyze sentence patterns, syntax, and probability distributions, while image models inspect pixel anomalies, diffusion patterns, and rendering inconsistencies.
This means organizations only have to use one platform for AI detection.
Confidence Scoring and Policy Controls
Once an analysis is complete, each piece of content is assigned a confidence score from 0-100% that indicates the likelihood it was generated (or manipulated) by AI.
Organizations can then set their own risk threshold based on what they’re comfortable accepting.
For example, a media organization might flag anything with a confidence score above 50% as suspicious and automatically quarantine media with scores above 70% for manual review.
Real-Time Monitoring and Alerts
In addition to one-off scans, TruthScan can also continuously monitor for threats.
When suspicious activity or synthetic content is detected, teams can receive instant alerts on their dashboard or via email.
This allows organizations to proactively identify, verify, and respond to high-level threats as soon as possible.
Core Capabilities
TruthScan’s strength lies in its multimodal AI detection system, meaning it can analyze multiple types of digital content.
Here’s a quick look at the different types of content the TruthScan detector can analyze.
Text AI Detection
TruthScan can flag repetitive phrasing and unnatural sentence structures typical of AI writing. This is helpful for analyzing reports, emails, and documents.
Image AI Detection
TruthScan’s image detector can identify pixel-level anomalies, lighting inconsistencies, and diffusion patterns common in AI-generated (or manipulated) visuals.
Voice Deepfake Detection
TruthScan’s voice detector tool can analyze acoustic fingerprints and waveform patterns common in synthetic or cloned speech.
Video Deepfake Detection
By analyzing frame-by-frame facial data, blink rates, and lip-sync accuracy, TruthScan can detect deepfake video manipulation of archived footage or live streams.
Email Scam & Phishing AI Detection
TruthScan’s email detection tool can analyze text, attachments, and sender behavior, helping cybersecurity teams spot AI-generated scams and phishing attempts.
Real-Time Monitoring and Scheduled Scans
Businesses can use TruthScan for continuous, real-time monitoring or scheduled scans at certain times each day.
Every detection is logged with confidence scores and timestamps, helping to support compliance, audits, and internal investigations.
Accuracy and Performance
TruthScan’s AI text detection models have been independently tested and verified across hybrid text (i.e., human text blended with AI), which is typically the most difficult type of content to flag.
With this in mind, we decided to run a similar test with TruthScan’s AI Image Detector to see how well it could distinguish between authentic photos, fully AI-generated images, and images with light AI editing.
TruthScan Image AI Detection Performance Test
To start, we uploaded six different images to TruthScan’s free AI image detector tool.
The first image was slightly altered by AI:
The second image was 100% AI-generated:
The third image was 0% AI-generated:
The fourth image was 0% AI-generated:
The fifth image was 0% AI-generated:
And the sixth image was 100% AI-generated:
The table below shows the full results:
| TruthScan Image AI Detection Test Results | ||
| Image 1 Slightly AlteredAI Likelihood: 63% | Image 2: 100% AIAI Likelihood: 99% | Image 3: 0% AIAI Likelihood: 3% |
| Image 4: 0% AIAI Likelihood: 13% | Image 5: 0% AIAI Likelihood: 14% | Image 6: 100% AIAI Likelihood: 99% |
The two AI-generated test images were correctly flagged, and all had a confidence level above 96%.
The two authentic stock photos were also correctly cleared as human with high confidence, and the first hybrid image was correctly flagged as AI (over 60%) but with medium confidence.
The average detection accuracy here was around ~96%, with most results appearing in less than two seconds.
Start Protecting Your Business With TruthScan AI Detector
AI-generated fraud is showing no signs of slowing down, and your business’s AI defense strategy will need to keep up if you want to stay competitive.
With TruthScan, you can:
- Accurately detect AI-generated content before it damages your credibility.
- Receive instant alerts and confidence scores, so you can make decisions quickly.
- Integrate AI-detection into your existing workflows and tools.
Final Thoughts
We’ve officially entered the era where seeing is no longer believing.
Deepfakes, cloned voices, and AI propaganda are everywhere, and even the sharpest eyes and minds can be tricked.
That’s why tools like TruthScan are so important.
With multimodal detection and real-time alerts, businesses that use TruthScan can stop synthetic content in its tracks, protect what’s real, and make quick, confident decisions based on verified facts.