Technology
Technology OverviewImage Trust LayerDocument Trust LayerAudio Trust LayerInformation Trust LayerSource VerificationProducts
Fraud ScannerSafeCamSafeMicGardioIndustries
InsuranceBanking & KYCAuthoritiesMedia & PressHR & ExpensesDefenseResources
BlogCase StudiesAPI DocsPress AreaCompany
About UsJobsContactAI-generated faces, stolen photos and romance scams erode trust in your platform. VAARHAFT automatically checks profile images for AI generation, manipulation and duplicates — and verifies real users right at onboarding.
Accuracy figures are based on internal benchmarks.
Generative AI turns convincing fake profiles into a matter of minutes: photorealistic faces no reverse image search will ever find, combined with stolen photos of real people. Every scam that reaches your users costs trust — and honest members leave when matches turn out to be fakes. Manual moderation alone cannot keep up with this pace.
Modern image generators produce photorealistic faces that exist nowhere else on the web. Classic reverse image search comes up empty — and to the human eye they are barely recognizable as fakes.
Behind fake profiles, fraudsters build emotional bonds over weeks to extract money or data. The financial damage hits your users — the loss of trust hits your platform.
Real photos of real people, used under a false identity. Without automated duplicate and provenance matching, these profiles often go undetected for a long time.
Edited selfies and manipulated verification photos defeat simple review processes. If the capture process itself is not secured, you may end up verifying the fraudster.
Fraud Scanner automatically checks every uploaded image for AI generation, manipulation and stolen photos. SafeCam secures the capture itself — for a selfie verification that cannot be tricked with someone else's or a generated image.
Checks uploads in seconds for AI generation, post-processing and known duplicates — via REST API directly inside your onboarding and moderation workflow, with a heatmap and structured result for your trust & safety team.
Suitable for: profile photo uploads, reported profiles, images shared in-app, moderation queues.
SafeCam captures photos tamper-proof directly in your app. Uploaded third-party images, screenshots or AI generations stand no chance — the capture itself becomes the proof of authenticity behind your verified profile status.
Suitable for: selfie verification at onboarding, verified badges, re-verification of flagged accounts.
See Fraud Scanner live — on examples from your own platform.
Schedule a demoNew profile, reported account or suspicious image in chat — VAARHAFT plugs into your workflow exactly where trust is created.
Every upload is checked in seconds for AI generation, manipulation and known duplicates — before the profile goes live. Clean images are approved without friction; suspicious ones land in your review queue with a score and heatmap. Honest users never notice, fraudsters fail at the door.
AI-generated and stolen profile photos are caught before they go live — noticeably reducing the number of scam contacts that ever reach your users.
Users stay where they feel safe. Credible verification and a clean profile base protect the very asset your platform lives on: real trust between real people.
Automated pre-screening handles the volume — your team focuses on the cases that need human judgment, deciding with score, heatmap and duplicate hits instead of gut feeling.
A hundred or a hundred thousand uploads a day: analysis runs via API in seconds and grows with your platform — without your moderation team having to grow with it.
Dating data is especially sensitive. VAARHAFT operates GDPR-compliant, without data retention and with anonymized duplicate search — information security aligned with ISO 27001.
A verified status that is technically enforced turns from a cost center into a selling point — differentiating your platform in a market where everyone advertises safety.
From manually checking individual profiles to fully automated screening of every upload: you decide how deeply VAARHAFT integrates with your platform.
Check reported profiles and suspicious images via drag and drop — no development effort, ideal for pilots and case-by-case review.
Every profile photo is checked automatically at upload. The structured JSON response drives your logic: approve, block or route to the review queue.
For platforms with strict privacy requirements: run entirely within your own infrastructure — user images never leave your premises.
A user uploads a profile photo or verification image — in your app, as usual.
Your backend passes the image to Fraud Scanner. All analyses run in parallel in a single scan.
Within seconds you receive a structured verdict: AI probability, heatmap, duplicate hits, content flags.
Your logic decides: approve, block, review queue — or trigger re-verification via SafeCam.
Technical specifications
Yes. Our models are continuously adapted to new generation methods and threat patterns. Especially for photorealistic faces that no reverse image search will find, statistical analysis is the key — it detects the traces of the generation process itself.
Matching is based on anonymized hashing — your users' images are neither stored nor shared with third parties. This lets you detect stolen and recycled photos without building an image database of your own.
Yes. The REST API returns a structured JSON response that plugs straight into your upload logic: auto-approve, block or route to the review queue. Typical integration effort is a few person-days.
That is up to you. Fraud Scanner delivers a verdict with score, heatmap and individual findings — your platform logic decides whether a profile is blocked, escalated for manual review or asked to re-verify via SafeCam.
Analyzing an image takes seconds, and all checks run in parallel in a single scan. Via the API, screening scales with your volume — from a niche service to a platform with very high upload traffic.
Yes. Processing under GDPR with standardized data processing agreements, hosting exclusively in the EU and information security aligned with ISO 27001. User images are not stored and never used to train our models. For special requirements, fully on-premise operation is available.
With classic photo verification, users can upload any image — including someone else's or a generated one. SafeCam secures the capture itself: the photo is taken tamper-proof directly in your app, becoming a proof of authenticity that uploaded images simply cannot provide.
Talk to our experts about how VAARHAFT stops fake profiles, catfishing and romance scams on your platform — happy to use examples from your own user base.
