10 #Bitcoin ETFs inflows 7,066 $BTC(+$703.6M) and 9 #Ethereum ETFs inflows 14,425 $ETH(+$48.32M) yesterday.

According to monitoring by Onchain Lens, BlackRock transferred 3,310 BTC (valued at $215.93 million) and 28,370 ETH (valued at $55.68 million) to Coinbase Prime.

According to market data from BIT (bit.com), U.S. stocks closed on Monday: the Dow Jones Industrial Average rose 0.5%, the S&P 500 gained 0.02%, and the Nasdaq fell 0.18%. Apple (AAPL) climbed 1%, with its market capitalization approaching $5 trillion. Micron Technology (MU) dropped 2%, SanDisk (SNDK) fell 11%, NVIDIA (NVDA) declined 5%, and SK Hynix (SKHY) was down 7.5%.

UBS analysts noted that Microsoft (MSFT)’s recent stock pullback has priced in some risks ahead of its Q4 fiscal results, leaving relatively limited downside. The firm maintained a "Buy" rating on Microsoft, though it cut the target price from $510 to $480, citing that Microsoft may raise its capital expenditure outlook while keeping Azure’s growth guidance unchanged rather than hiking it. This mix of high spending and limited revenue growth expectations appears less favored by the market. Beyond discussions on capital expenditure and return on investment, Microsoft also faces multiple pressures: its exposure to OpenAI, substitution risks from open-source models, and skepticism surrounding its flagship productivity software business. The analysts wrote: "All in all, we maintain a 'Buy' rating, but take a more balanced view on this earnings report."

According to a report by The Information, three people familiar with the matter disclosed that the Trump administration is on the verge of finalizing a voluntary framework mandating AI companies to submit their most advanced models to the government prior to public release. The sources noted that the White House Office of the National Cyber Director circulated a draft framework to OpenAI, Anthropic, and Google (GOOG.O) roughly two weeks ago, with all three firms submitting their respective revisions. An AI-related executive order signed by Trump in early June set August 1 as the deadline for developing this framework, which is designed to establish a more standardized review process for powerful new AI models capable of rapidly detecting cybersecurity vulnerabilities. As the deadline draws near, some AI companies have raised concerns in meetings with White House agencies over how the framework will define frontier models and whether it will differentiate between closed-source and open-source models, two sources said. Another outstanding question is the actual level of voluntariness of the framework in practice, particularly after the White House imposed export controls on Anthropic. The Trump administration maintains that compliance with the framework is not mandatory. (Jinshi)

Microsoft AI has launched a new self-developed cybersecurity model, MAI-Cyber-1-Flash. The model operates on the MDASH platform, a multi-agent framework designed to detect and remediate vulnerabilities in large-scale codebases. MDASH announced that the combination of MAI-Cyber-1-Flash and GPT-5.4 scored 12 points higher than Mythos in the CyberGym benchmark test. Microsoft AI stated that the model configuration provided on MDASH is 50% cheaper than its previous optimal setup (GPT-5.4 + 5.4 mini + 5.3 Codex). Source: Jinshi

The number of software security vulnerabilities found in popular tech products in 2026 is projected to be roughly double the 2025 count, with this surge largely attributed to the growing capabilities of artificial intelligence (AI) systems. The U.S. National Vulnerability Database (NVD) shows that 45,207 vulnerabilities have been logged between January and this Monday, a figure nearly matching the total for all of 2025. Last year, the database recorded an all-time high in vulnerabilities. Oracle (ORCL.N) reported that its July monthly software update fixed 1,449 security vulnerabilities, an all-time high, compared to just 309 fixes in the same period last year. Microsoft (MSFT.O) disclosed 642 security vulnerabilities in July, also an all-time high, nearly five times the number from the same period a year ago. Google (GOOG.O) discovered and fixed 433 such vulnerabilities in its latest Chrome browser update, versus only 11 in the equivalent update a year prior. Gabriel Shapiro, a distinguished AI research scientist at cybersecurity firm SentinelOne, noted: “We must face the reality that these tools are boosting people’s ability to uncover software vulnerabilities.” Doug Turner, Google’s Chrome engineering director, said vulnerabilities are being found at an “unprecedented scale and speed” due to advances in AI models and corresponding investments.