The largest crypto hack on record triggered multi-billion dollar withdrawals, a SAFU reserve drawdown and an FBI attribution to North Korea, denting confidence

Bitcoin's slide comes alongside weakness in AI-related equities and broad altcoin losses, with traders cautious ahead of US midterm elections.

A sharp outflow from the largest spot Bitcoin ETF signals institutional risk reduction during the market pullback.

The incident at Brazil's largest exchange adds to a wave of security breaches hitting crypto platforms this week.

Growing pushback from major corporates raises legal risk for tokenized equity products marketed by crypto exchanges.

The approval extends crypto-native derivatives structures into traditional equity markets, blurring the line between the two regimes.

The disclosure gap between the CEO's figure and the published attestation raises fresh questions about stablecoin reserve transparency.

The relief is a rare formal signal on token classification and may guide other networks seeking commodity treatment.

The move reflects growing enterprise demand for controls over autonomous AI agents after a series of high-profile agent-related breaches.

The dispute between Sun and World Liberty Financial puts a political spotlight on the Trump family's crypto venture.

The incident at a mainstream developer documentation host shows AI agent vulnerabilities spreading beyond crypto-specific platforms.

Pyongyang's denial comes as blockchain analysts track laundering of hack proceeds through thousands of new wallets.

The delisting of the DOGE treasury vehicle removes one of the few listed proxies for Dogecoin exposure.

The remark ties Musk's federal contracts to election outcomes, an unusual political risk for his companies.

On-chain selling by large holders and a bearish technical signal add to Dogecoin's underperformance versus its 2024 rally.

The purchase extends the largest corporate bitcoin treasury despite the market pullback.

Recovery of the Bitcoin sidechain's peg closes one of the larger bridge-style losses of the year.

Falling inference prices squeeze revenue for AI model providers and shift competition toward volume and bundling.