Scam AI
Real-time detection platform that spots deepfakes and synthetic media across images, video, audio, and live video calls.
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Product Overview
What is Scam AI?
Scam AI is a fraud-detection platform built to tell real media from fabricated media at the moment it matters. Its Eva-v1 model family analyzes images, video, and audio for signs of manipulation—face swaps, lip-sync edits, cloned voices—as well as content generated entirely from scratch by tools like Stable Diffusion, DALL-E, Midjourney, and ElevenLabs. Beyond its API-based detection, the company's Halo product runs locally on Windows machines to flag synthetic faces during live Zoom, Teams, and Google Meet calls, catching impersonation before a wire transfer or hiring decision goes through. The platform is aimed at businesses facing deepfake-driven fraud in finance, hiring, KYC, and customer-facing communications.
Key Features
Eva-v1 Detection Models
Two model tiers—Eva-v1-Fast for sub-2-second screening and Eva-v1-Pro for forensic-grade accuracy in under 4 seconds—give teams a speed-versus-precision tradeoff depending on the use case.
Cross-Format Media Coverage
One system handles JPG, PNG, GIF, WebP, MP4, MOV, AVI, MP3, WAV, and FLAC files, covering manipulated and fully synthetic content across images, video, and audio.
Halo Live-Call Protection
An on-device Windows tool that scans faces roughly four times a second during video calls and surfaces alerts the moment a synthetic face appears, without recording or transmitting footage.
Single REST API Integration
A single API endpoint returns a confidence score and verdict for both manipulated-reality and fully generated content, letting teams skip juggling separate detection tools.
Identity and Document Screening
Detection tuned for onboarding flows catches forged IDs, manipulated selfies, and AI-generated documents before an account is approved.
Compliance-Ready Infrastructure
GDPR compliance and SOC 2 Type II attestation, paired with no default media retention, make the platform deployable across EU, US, and APAC operations.
Use Cases
- Treasury and Wire Fraud Defense : Finance teams use Halo to verify that executives on approval calls are real, closing the gap that let a deepfaked video call cause a reported $25 million loss in one 2024 incident.
- KYC and Account Onboarding : Banks and fintechs run selfie and document checks through Eva-v1-Pro to catch synthetic identities before an account is opened.
- Contact Center Voice Authentication : Call centers screen incoming audio in real time to detect cloned voices attempting to bypass caller verification.
- Content Moderation at Scale : Social and media platforms auto-flag AI-generated or manipulated uploads before they spread, using the fast model for high-volume screening.
- Hiring and Interview Verification : HR teams confirm that remote interview candidates are genuine, guarding against deepfake stand-ins in the hiring pipeline.
- Dating and Marketplace Trust : Platforms verify that profile photos and listing images are authentic, reducing catfishing and fake-listing scams.
FAQs
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