🚨LATEST: BYBIT RECOVERS $300M USING AI FRAUD DETECTION SYSTEM@Bybit_Official disclosed that its AI-driven on-chain monitoring tools have helped tens of thousands of users recover more than $300 million in losses.The exchange said the system detects suspicious wallet behavior in real time.It also flagged coordinated fraud patterns across networks.Bybit described the initiative as part of a broader security overhaul.The exchange cited cooperation with @trmlabs, @elliptic, and @Chainalysis. ...

Technology & Security Concerns - Centralized fraud detection systems are perceived as surveillance engines due to their reliance on hoarding user data for judgment [1] - The current system operates on a "guilty until proven innocent" premise, raising privacy concerns [1] - Existing systems are seen as invasive "dragnets" rather than mathematically valid systems [3] Proposed Solution: STARKs & Decentralization - STARKs offer an alternative where users run checks locally instead of shipping data to a centralized entity [2] - The inference pipeline shifts to the client, and the alerting service becomes a verifier [3] - Users generate a proof of compliance instead of submitting the actual data [4] - The proposed system aims to make centralized data storage obsolete [1] Benefits of the Proposed System - Validity is ensured mathematically, reducing the need for invasive data collection [3] - User privacy is enhanced as data is not shared with a central authority [4]