Revenue Search: Inside Bittensor Subnet Session with Jose from Yanez & Ken from BitMind: Subnet 54 and 34
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Apr 7, 2026 Ken (BitMind), CEO building deepfake detection models for enterprises. Jose (Yanez), founder creating high-fidelity synthetic identity and face data for fraud testing. They unveil a partnership to fight deepfake-driven identity fraud. Short takes cover synthetic attack data feeding detection models, liveness and sensor protection, multi-modal biometrics, commercial licensing, and revenue-sharing tied to subnet value.
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Make Prompts Specific To Prevent Scraping
- Specific, time-bound prompts prevent simple internet-scraping attacks because generated images must match exact lighting/pose constraints.
- Generic prompts (e.g., 'a cat') are easy to spoof; specificity forces fresh generation not scrapeable matches.
Scale And Speed Are The New Fraud Threat
- Generative AI made producing high-fidelity fake identities trivial and scalable, creating an explosion in deepfake-driven fraud.
- Attack scale and speed, not novelty, is the main new threat to identity verification systems.
Deepfake Fraud Is Exploding Financial Losses
- Identity fraud already costs tens to hundreds of billions annually and deepfake attacks are growing roughly 3,000% year-over-year.
- The economic and consumer recovery costs magnify the impact beyond direct financial losses.