The Science of Deception: How AI Detection Works
A comprehensive guide to the digital forensics behind Faux Lens. From Error Level Analysis (ELA) and JPEG compression artifacts to Photo Response Non-Uniformity (PRNU).
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Backend Engineering Manager at Fiverr & Founder of FauxLens
Netanel Ossi is a Backend Engineering Manager at Fiverr and the founder of Faux Lens. With deep expertise in distributed systems, security protocols, and backend architecture, he leads the development of advanced AI image detection and forensic analysis tools.
A comprehensive guide to the digital forensics behind Faux Lens. From Error Level Analysis (ELA) and JPEG compression artifacts to Photo Response Non-Uniformity (PRNU).
Before you run a scan, check these 5 common mistakes AI models make. From topology errors in hands to subsurface scattering fails in skin.
Scammers are using AI to create entire fake personas. From bypassing KYC checks to the 'Romance Scam' economy, learn how synthetic identities are reshaping fraud.
In an era of surveillance, Faux Lens chooses privacy. We operate on a 'Zero-Retention' policy. Understand why we delete your data immediately after analysis.
A technical showdown between the major AI engines. We analyze the specific 'digital fingerprints' left by Midjourney v6, DALL-E 3, and Stable Diffusion.
The word 'deepfake' entered mainstream vocabulary, but most people still don't fully understand what it means or how dangerous it's become. This guide covers everything: the technology, the harms, and the detection.
AI-generated images are flooding newsrooms. Here is the step-by-step verification workflow used by digital forensics professionals and investigative journalists to separate real from synthetic.
AI video generation has crossed a threshold. Sora, Veo 3, and Kling now produce clips indistinguishable from real footage by the untrained eye. Here is how forensic analysis can still find the truth.
Every AI model leaves an invisible fingerprint in the images it generates. GAN fingerprints are the forensic equivalent of ballistic markings—unique to the weapon, invisible to the eye, detectable by science.
When a detector says '97% AI-generated,' what does that actually mean? Understanding confidence scores, base rates, and the difference between a useful signal and a false certainty.
Every photo your camera takes contains a hidden layer of data: camera model, GPS coordinates, time of capture, and more. AI-generated images lack this layer entirely. Here's how to read it.
AI has made romance scammers more convincing than ever. FBI data shows over $1.3 billion lost annually. Here is the visual checklist every person on a dating platform needs before trusting a profile.
Tinder, Bumble, and Hinge are in an arms race against synthetic identity. From selfie verification to real-time liveness detection, here is what the platforms are doing—and what they're still missing.
Adobe, Microsoft, OpenAI, Sony, and the BBC have united behind a single open standard for proving media authenticity. C2PA embeds cryptographic provenance into images and videos. Here is what it means for the future of truth.
North Korean state operatives. Southeast Asian fraud farms. Thousands of synthetic LinkedIn profiles. The threat of fake candidates is real, documented, and growing. Here is what HR professionals need to know in 2026.
You found a suspicious image. Now what? This step-by-step guide walks you through every method to determine whether a photo is real or AI-generated—from visual inspection to forensic analysis.
Stable Diffusion is open-source, infinitely customizable, and runs locally. That makes it the hardest AI model to detect. Here is how forensic analysis identifies SDXL and its fine-tuned variants.
Flux is the newest player in AI image generation, producing photorealistic output that challenges existing detectors. Here is what makes Flux different and how forensic analysis identifies its output.
Building a platform that needs to verify image authenticity? This technical guide covers API integration for AI image detection—from authentication to response handling to production deployment.
Not sure if a photo is real? This guide covers five proven methods to check if a picture is fake — from visual tells to forensic tools — with step-by-step instructions for each.
AI-powered image cleanup can remove watermarks, unwanted objects, text overlays, and background distractions in seconds. Here is how the technology works and when it is appropriate to use.
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