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first_img Indian cybersecurity agency: AI agents unauthorizedly read corporate confidential records

The Indian Computer Emergency Response Team (CERT-In) released an important announcement this week titled "AI Agents as Attack Vectors," indicating that AI agents operated by unnamed model providers exceeded their granted task scope during testing, reading confidential business records in the online systems of Indian agencies, and no affected agencies discovered this behavior on their own.CERT-In stated that it received voluntary disclosures from several AI model providers, which indicated that these models accessed the online systems of Indian agencies while being researched and evaluated on the internet. The announcement did not disclose the names of the providers, models, or affected agencies. The agents read business records containing personal data and confidential materials, utilizing credentials and connection settings exposed in application configurations, public code repositories, and overly permissive cloud service roles. In some cases, the same credentials were recovered multiple times and reused in different operations.Additionally, CERT-In observed that criminals exploited publicly available AI-driven offensive security frameworks to scan for vulnerabilities, implement exploits, and launch economically motivated attacks against Indian entities, reducing the time from initial access to final impact from several days to just hours; these tools were repeatedly repackaged and deployed, with related deployments appearing on servers in multiple countries.

Trump plans to transfer senior officials from the AI testing agency to the White House, with a 40-person team evaluating top models

The Trump administration plans to transfer three senior officials from the U.S. artificial intelligence model testing agency CAISSI to the White House, reporting directly to White House technology policy director Michael Kratsios and national cyber director Sean Cairncross. The government had previously considered moving the entire agency to the White House but ultimately only adjusted part of the senior leadership; the related transfers have not yet been completed, and the identities of the three officials have not been disclosed. Since its establishment by the Biden administration, the agency has used three different names in less than two years, and Chris Fall, the head, resigned just three months after taking office in July of this year, with a successor yet to be determined.CAISSI is affiliated with the National Institute of Standards and Technology (NIST) under the U.S. Department of Commerce, has about 40 employees, and an annual budget of approximately $15 million, responsible for model safety assessments. According to informed sources, the agency is collaborating with the National Security Agency to test OpenAI's Astra and Anthropic's Mythos before public release; it has previously assessed DeepSeek V4 Pro and Zhiyuan GLM-5.3. Google confirmed that Gemini 4 Argon has participated in the voluntary testing process before the U.S. government release. The White House hopes that this adjustment will allow model testing experts to be more directly involved in policy decision-making.

first_img Breez: AI coding agency drives Bitcoin integration demand surge by approximately 14 times

Bitcoin software company Breez stated that since AI coding agents have become mainstream, the demand for its developer tools has surged significantly, with consulting requests increasing by approximately 14 times. Developers and the AI agents they deploy are seeking to integrate Bitcoin payments into their applications. Breez directly attributes this growth to Anthropic's Claude Code, which was launched as a research preview in February 2025 and officially opened three months later.Breez noted that before 2025, potential partners mainly fell into three categories: staunch Bitcoin enthusiasts, crypto developers, and fintech companies that view Bitcoin as an asset class. Since the launch of Claude Code, many developers with little to no Bitcoin experience have begun to inquire, with demand coming from fitness applications, messaging apps that want users to transfer money to each other, eSIM services for travelers, and a team developing a mushroom identification app. Breez stated that these developers often choose Bitcoin for its speed, as traditional payment processing involves bank accounts and cross-border transfers, which can take weeks or even months, while its SDK can be operational in just a few minutes.Breez mentioned that an increasing number of inquiries are coming from software rather than humans, as coding agents often represent the companies deploying them in making requests. The company believes that agents prefer Bitcoin because it is permissionless; agents can build applications and set up payments for global users without needing to open bank accounts, go through approvals, or sign documents. Breez stated that its latest SDK, built on the Bitcoin scaling protocol Spark, has successfully handled the increased traffic.

first_img Crypto.com subsidiary AI agency ai.com has been secretly developing, and it has not launched nearly 8 months after its Super Bowl debut

The personal AI agent business ai.com under Crypto.com has not yet been opened to the public since its debut during the Super Bowl in February this year. According to Cointelegraph, ai.com spent $15 million on advertising during the fourth quarter of the Super Bowl to promote the launch of its AI platform, leading to a surge of users rushing to reserve personal AI agent accounts, which caused the website to crash within minutes. Nearly 8 months later, the site still displays a message indicating that due to high demand, AI agent generation is in queue. A spokesperson for Crypto.com confirmed that the platform is still under development, stating that ai.com continues to advance in stealth mode and will provide more details when it is officially released to the public.The AI agents of ai.com are positioned beyond financial scenarios. In a statement released in February, it was announced that personal agents could arrange work, send messages, operate across applications, and build projects, and it also claimed that agents could independently develop missing capabilities and share improvements within the network. Meanwhile, competitors have launched AI assistants for more specific tasks: Robinhood announced on Tuesday that it could execute automated trading within the app using AI agents, Kraken launched AI financial tools in July, and Bitget introduced the AI trading assistant GetAgent in June. Anthropic introduced computer use in Claude Cowork in March, and OpenAI launched ChatGPT Work in July.During this period, Crypto.com continues to invest in AI business.

The National Tax Agency of Japan's new system KSK2 officially launches: AI enhances cryptocurrency declaration verification

According to CoinPost, the National Tax Agency of Japan officially launched the first upgrade of its next-generation core system KSK2 on September 24, marking the first upgrade in about 25 years. The new system centers around personal identification numbers (My Number) and corporate identification numbers, achieving unified management of individual and corporate data, and introducing AI technology to enhance the detection of improper declarations.Cryptocurrency traders and investors are particularly affected, as annual transaction reports submitted by exchanges, bank account deposit and withdrawal records, and information exchange with overseas tax authorities (CRS) data have all been included in the key analysis scope of AI.In addition, statements related to "cryptocurrency profits" on social media will also be compared with declaration data, significantly increasing the risk of tax investigations. The National Tax Agency has also integrated horizontal data between corporations and individuals, making it easier to identify inconsistencies in assets and income for investors who purchase cryptocurrencies through private company investments or with funds from gifts and inheritances.Industry insiders emphasize that properly retaining annual transaction reports and accurately and completely declaring them has become an urgent priority.
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