MSCI’s Proposal May Exclude Bitcoin-Treasury Companies

The post ‘Already seen the low?’ – Inside Cathie Wood’s bet on a new Bitcoin cycle appeared on BitcoinEthereumNews.com. Bitcoin has rarely looked more fragile, and many analysts are already referring to this as the worst fourth quarter on record, marked by a massive leverage wipeout and a steep drop from its all-time highs. For over a decade, Bitcoin [BTC] has followed a harsh, predictable pattern: a Halving event, a commendable rally to new highs, and then a brutal 75–90% crash that resets the entire market. This cycle shaped the crypto world and created the “crypto winter” mentality that traders have come to expect. Cathie Wood challenges the four-year cycle But according to Cathie Wood, CEO and CIO of ARK Invest, those old rules no longer apply. Speaking with Fox Business, Wood made a profound declaration: institutional adoption is actively “disrupting” the traditional Bitcoin cycle. Wood noted that growing participation in U.S. Spot Bitcoin ETFs had started to change how BTC absorbed volatility. She pointed to a steady decline in its two-year volatility trend over the past five years, adding fuel to the idea of a maturing asset. Why Bitcoin’s old pattern may be fading Wood’s view challenges over a decade of beliefs built around Bitcoin’s strict, predictable four-year cycle. The evidence for this cycle is compelling.  For instance, the 2012 Halving saw Bitcoin surge from under $10 to a peak of roughly $1,100; the 2016 Halving fueled a climb from $400 to nearly $20,000; and the 2020 Halving propelled the asset from $8,500 to a record high of around $69,000. Each of these explosive rallies was followed by a painful, defining drawdown of 70% to 85%, resetting the stage for the next run. This predictable pattern, last triggered by the 20th April 2024, Halving, has historically been the sole script for investors. Yet, this time, the narrative feels disjointed and disruptive. What is Wood so concerned about? Wood…

The entire non-fungible token ecosystem is highly susceptible to many security threats, fueled by technical vulnerabilities, human-centric scams, and a lack of regulatory oversight. These [...]

The post The Critical Security Play You Can’t Miss in the AI Era appeared on BitcoinEthereumNews.com. The Watershed Moment That Changed Blockchain Security Forever Singapore – Blockman PR – December 2025 marked a turning point. Anthropic’s research team published findings that sent shockwaves through crypto: AI systems could successfully exploit smart contract vulnerabilities with 55.88% accuracy, simulating $4.6 million in potential theft from real-world contracts. The implications were existential. If AI could systematically identify and exploit vulnerabilities at scale, the entire blockchain ecosystem—processing over $1 trillion in transactions annually—faced an unprecedented threat. Traditional security tools couldn’t keep pace. Human auditors, already stretched thin reviewing less than 20% of deployed contracts, had no chance against autonomous AI attackers. But here’s what most people missed: Anthropic’s breakthrough wasn’t just validation of the threat. It was validation of the solution space. And one company had already been building that solution for six months—and winning. The Defense Was Already Operational While Anthropic demonstrated AI could break smart contracts in simulation, AgentLISA had been defending them in production. By the time Anthropic’s paper dropped, AgentLISA’s multi-agent system had detected over $7.3 million in actual vulnerabilities across real protocols managing billions in assets. The asymmetry is critical: Anthropic proved the threat is real and AI-powered. AgentLISA proved the defense is real, AI-powered, and already operational at scale. This matters because Anthropic’s research exposed something fundamental: the AI security race will be won by whoever controls the training data. And AgentLISA just lapped the entire field. LISA-Bench: The Data Moat Nobody Saw Coming https://github.com/agentlisa/bench Anthropic’s team used SCONE-bench—a dataset of 413 vulnerable smart contracts—to train their attack models. Solid methodology, respectable work. But fundamentally constrained by data scarcity. AgentLISA’s response was devastating: LISA-Bench, containing 23,959 professionally verified vulnerability records spanning 2016-2024—the largest curated smart contract vulnerability dataset ever assembled. It’s not just 60 times larger than SCONE-bench. It includes 10,185 code-complete vulnerability cases…