Tag: AI fraud detection
Chainalysis Acquires AI Fraud Detection Startup Alterya to Enhance Crypto Security
Chainalysis Expands Its Capabilities with Alterya Acquisition Chainalysis, a leading blockchain analytics firm, has announced the strategic acquisition of the artificial intelligence-powered fraud detection startup, [more…]
Navigating Blockchain Privacy: Zero-Knowledge Proofs vs. Multiparty Computation
Explore Zero-Knowledge Proofs and Multiparty Computation and their impact on privacy in blockchain technology.
Unlocking Blockchain Privacy: The Dynamic Duo of Zero-Knowledge Proofs and Multiparty Computation
Discover the role of ZK and MPC in enhancing privacy in blockchain technology, balancing transparency and security.
Navigating the Digital Euro: Data Protection Recommendations from European Regulators
European regulators urge clarity on verification, fraud prevention, and privacy thresholds for the digital euro amidst its preparation phase.
EU’s Digital Euro Regulation: Balancing Innovation with Privacy
EU regulators stress the need for privacy in the proposed digital euro, advocating for clarity and decentralization in user data management.
Understanding Honeypot Scams in Web3: A Guide for Crypto Users
Learn about honeypot scams in Web3 and how to secure your crypto assets with practical tips and the best tools available.
CIA’s Ambitious Move: Developing AI-Powered Investigative Tools
CIA plans AI chatbot for investigations, boosting intelligence analysis and open-source intelligence access across U.S. agencies.
SEC’s AI Revolution: The Unseen Eyes of Financial Surveillance
SEC Chair Gary Gensler unveils the agency’s use of AI in monitoring market irregularities and fraud during a Senate hearing.
SEC’s AI Initiatives: A Game Changer in Financial Oversight
Discover how the SEC is leveraging AI to improve financial monitoring and fraud detection.
Unlocking Blockchain Explorers: The Gateway to Transparency and Trust in Cryptocurrency
Explore the benefits of blockchain explorers in cryptocurrency, from transparency to fraud detection, empowering users and building trust in the ecosystem.
