AI-Powered Crypto Surveillance Detects Over $1 Billion in Losses
Crypto surveillance is evolving rapidly, thanks to artificial intelligence (AI) that can analyze millions of transactions in near real-time. This new layer of monitoring combines blockchain data with known exchange wallets and sanctioned addresses to identify suspicious patterns.
According to CertiK, AI-powered systems have already detected over $1.31 billion in losses across 344 incidents in the first half of 2026, with wallet compromises accounting for approximately $444.5 million and phishing causing another $366.3 million in losses.
The technology can also connect seemingly unrelated addresses based on timing, counterparties, and transaction flows, making it easier to track down hackers and their assets.
CertiK's AI Auditor system has reported an 88.6% cumulative exact hit rate against real-world security incidents from 2026, demonstrating the effectiveness of AI in detecting vulnerabilities and abnormal behavior.