See Through
the Invisible.
Advanced AI detection that catches what the human eye can't. From AI-generated documents to sophisticated deepfakes and injection attacks—we see it all.
The Threat is Real—and Growing
Fraud attempts are evolving faster than ever. Traditional verification can't keep up with AI-powered attacks. The numbers tell the story.
Three Layers of AI Protection
Every verification runs through multiple AI detection engines working in concert to catch fraud at every level.
Document Forgery Detection
AI that sees beyond the pixels. Detects manipulated text, photo replacements, template deviations, and AI-generated documents.
- AI-generated document detection
- Text manipulation identification
- Photo replacement detection
- Template deviation analysis
Deepfake Detection
Advanced neural networks trained on millions of samples. Catches face swaps, synthetic faces, and subtle artifacts invisible to humans.
- Face swap identification
- Synthetic face detection
- Spatial artifact analysis
- Temporal inconsistency detection
Injection Attack Prevention
Stop attackers from manipulating the verification stream. Detects virtual cameras, emulators, and man-in-the-middle attacks.
- Virtual camera detection
- Emulator identification
- Stream integrity verification
- Device fingerprinting
How AI Detection Works
Multiple specialized AI models work together, analyzing different aspects of documents and biometrics to build a complete fraud picture.
Multi-Stream Analysis
Documents and faces are analyzed simultaneously across spatial, frequency, and temporal domains.
Pattern Matching
Compared against millions of known fraud signatures from our continuously updated threat intelligence.
Risk Scoring
Ensemble models vote to produce a unified fraud confidence score from 0-100.
Intelligent Decision
Automatic approval, flagging for review, or denial based on configurable thresholds.
What We Detect
Document Forgeries
Catch documents created by AI tools like Stable Diffusion or DALL-E
Detect edited names, dates, addresses, or document numbers
Identify when the ID photo has been swapped or pasted
Spot when documents don't match official templates
Biometric Attacks
Detect when someone's face has been replaced in a photo or video
Identify completely AI-generated faces that never existed
Catch when someone holds up a photo or video of another person
Find compression anomalies and digital fingerprints invisible to humans
Injection Attacks
Detect OBS, ManyCam, and other virtual camera software
Identify Android/iOS emulators pretending to be real devices
Catch when video streams are being intercepted or altered
Detect when device metadata has been tampered with
Adaptive Threat Intelligence
Our technology is always adapting to new threats every day from intelligence gathered from users being targeted. Alone we are strong, together we are stronger.
Why Our AI Detection is Different
Fast Analysis
Complete fraud analysis in under 500ms. No delays, no friction—just instant results.
High Accuracy
90%+ detection rates across all fraud types with low false positives to keep legitimate users flowing.
Always Evolving
Models retrained monthly on the latest attack patterns. Stay ahead of emerging threats automatically.
Fully Configurable
Set your own risk thresholds. Balance security and user experience for your specific use case.
Detailed Explanations
Every fraud detection comes with specific findings and confidence scores. Know exactly what was detected.
Seamless Integration
Automatically runs on every verification. No extra API calls or complex configuration needed.
Who Needs AI Fraud Detection?
Financial Services
Stop synthetic identity fraud and account takeovers before they cost you millions.
Real Estate
Prevent rental fraud and identity theft in tenant screening and property transactions.
Education
Ensure exam integrity and prevent credential fraud in online learning platforms.
Hiring & HR
Verify candidate identities and prevent resume fraud during remote onboarding.
E-commerce
Reduce chargebacks and fraud losses from fake accounts and stolen identities.
Gaming & Betting
Enforce age restrictions and prevent account sharing with confidence.
Fraud Detection, Zero Effort
AI fraud detection runs automatically on every verification. You get fraud scores, detailed findings, and risk recommendations without changing a single line of code.
// Standard verification call
const result = await owlEyes.verify(sessionId);
// Fraud detection runs automatically
console.log(result.fraudDetection);
// {
// overallRisk: { score: 92, level: 'low' },
// document: {
// forgeryScore: 95,
// aiGenerated: false
// },
// biometric: {
// deepfakeScore: 88,
// faceSwapDetected: false
// },
// injection: {
// virtualCameraDetected: false
// }
// }Deepfake Detection for Workforce Auth
The same AI that catches document forgeries and deepfakes also protects your enterprise authentication—stopping synthetic identity attacks on your workforce.
Deepfake Authentication Attacks
Attackers are using AI-generated faces to bypass biometric auth. Our deepfake detection catches synthetic faces, face swaps, and AI-generated videos in real-time.
Injection Attack Prevention
Detect virtual cameras, camera hooking, and video injection attacks targeting your authentication endpoints. Prove the biometric is live-captured.
Voice Deepfake Detection
AI-cloned voices are the next attack vector. Our audio analysis catches synthetic speech, voice cloning, and AI-generated audio in voice biometric flows.
Stop Fraud Before It Costs You
AI-powered fraud detection is active and ready to protect your verifications. Start catching sophisticated attacks that other systems miss.