Observed Signal · Aug 26, 2026 · Market Signal · Source: Resemble AI · Impact: 4/5

DETECT-World Is Live on Eden AI: Deepfake Detection Through a Single API

Executive Signal Summary

DETECT-World is live on Eden AI. Top ranked deepfake detection for audio, image, and video through one unified API, no separate integration needed.

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Primary Reporting: Resemble AI•Published: Aug 26, 2026

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Market IntelligenceAug 26, 2026

DETECT-World Is Live on Eden AI: Deepfake Detection Through a Single API

DETECT-World is live on Eden AI. Top ranked deepfake detection for audio, image, and video through one unified API, no separate integration needed.

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AI & Deepfake DetectionSep 28, 2026

DetectifAI fights deepfake voice scams with on-device AI

After her grandfather was scammed by a deepfake voice, Tarini Padmanabhuni founded DetectifAI, a San Francisco-based startup that develops compact AI models for real-time deepfake voice detection directly on smartphones. The company licenses its SDK to phone manufacturers, aiming to embed detection as a built-in OS feature. DetectifAI currently handles over 100,000 calls per month for financial institutions in India, providing deepfake detection and speaker verification. The startup has raised a small seed round from investors including Josh Constine and Manohar Kamath. It is also set to compete in TechCrunch's Startup Battlefield at Disrupt 2026. The FBI reports Americans lost nearly $900 million to AI-driven scams last year, highlighting the growing need for such technology.

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Brand Safety / Advertising Fraud DetectionJul 22, 2026

Red Points Launches Deepfake Protection Service

Red Points announced Deepfake Protection, a new service that detects and removes AI-generated videos impersonating public figures for fraudulent purposes. The solution combines honeypot discovery agents, computer vision (facial recognition), voice analysis, behavioral profiling, NLP and risk models to detect impersonation across both paid and organic video on major social platforms. Red Points says the technology is built into its broader brand-protection stack, trained on billions of monthly data points, and is intended to reduce false positives while enabling automated takedowns. The company cites a widening range of targets — from politicians and celebrities to executives, influencers and sector-specific figures — and highlights scalability and contextual validation as core challenges the product addresses.

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