# Пов'язані статті щодо Cybersecurity

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Cybersecurity", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

The Real Battlefield of AI Lies in the 'Dark Forest'

The article "AI's Real Battlefield is in the 'Dark Forest'" discusses the shifting dynamics in the global AI landscape, contrasting the strategic directions of Chinese and U.S. AI developers. Chinese companies like Alibaba (with its "HappyHorse" video model), ByteDance (Seedance 2.0), and Kuaishou (Kling 3.0) have taken the lead in text-to-video generation, surpassing OpenAI’s now-discontinued Sora. These models are deeply integrated into their parent companies’ content ecosystems (e.g., Douyin, Kuaishou), serving to reduce content creation costs and enhance user engagement rather than operating as standalone profit centers. In contrast, U.S. firms are pivoting toward high-stakes enterprise and security applications. Anthropic’s Claude Mythos model demonstrates advanced capabilities in autonomously discovering and exploiting software vulnerabilities, prompting concern at the highest levels of U.S. financial and governmental institutions. OpenAI responded with its own GPT-5.4-Cyber, signaling a strategic shift from consumer-facing products to enterprise-grade tools focused on cybersecurity and programming. The divergence is attributed to fundamental differences in resources and market structures. U.S. companies, backed by vast computational resources (e.g., Amazon and Google supply Anthropic with substantial funding and TPU access), can pursue deep, specialized R&D in high-value B2B sectors. Chinese firms, facing significant compute power constraints and a less mature enterprise SaaS market, have found success by leveraging their massive consumer platforms and optimizing for cost-efficiency. The article warns that the AI race is entering a "dark forest" phase—a reference to competitive dynamics where cybersecurity capabilities could determine digital sovereignty. While Chinese models like Zhipu AI’s GLM-5.1 show promise in narrowing the gap in coding proficiency, the author stresses that achieving parity in security-critical AI will require asymmetric strategies, including greater investment in coding models, adaptation to domestic hardware, and exploring international markets in the Global South.

marsbit14 год тому

The Real Battlefield of AI Lies in the 'Dark Forest'

marsbit14 год тому

Ethereum Targets North Korea’s Secret Workforce — Are Your Favorite DeFi Protocols Compromised?

The Ethereum Foundation's ETH Rangers Program, a security initiative launched in late 2024, has identified approximately 100 North Korean (DPRK) IT operatives who had infiltrated around 53 different crypto projects using fake identities. The program, a collaboration with security groups like Secureum and SEAL, also recovered or froze over $5.8 million in funds and reported more than 785 vulnerabilities. A key project within the initiative, Ketman, focused specifically on uncovering these DPRK agents, published detailed reports, and developed open-source tools for detecting suspicious activity. This effort highlights the ongoing threat of state-sponsored North Korean hacking groups within the crypto ecosystem and the industry's increasing focus on robust security measures and transparent hiring practices to mitigate risks.

bitcoinist18 год тому

Ethereum Targets North Korea’s Secret Workforce — Are Your Favorite DeFi Protocols Compromised?

bitcoinist18 год тому

How Dangerous is Mythos? Why Anthropic Decided Not to Release the New Model Publicly

Mythos, a new AI model developed by Anthropic, has demonstrated unprecedented capabilities in autonomously discovering and exploiting critical software vulnerabilities, including zero-day flaws, at a speed far surpassing human hackers—reducing tasks that took days or weeks to mere hours or minutes. This represents a significant escalation from merely assisting attacks to independently planning and executing complex cyber intrusions, such as breaching secure systems like Linux or chaining multiple vulnerabilities for sophisticated exploits. Due to these heightened risks, Anthropic decided against a public release, instead limiting access to select entities like government agencies, financial institutions (e.g., JPMorgan Chase, Goldman Sachs), and tech firms (e.g., Apple, Cisco) for defensive testing. The model’s ability to lower the barrier for cyber attacks, potentially enabling even low-skilled hackers to conduct advanced operations, has raised national security concerns, prompting urgent high-level meetings in Washington and warnings from officials. While AI may improve long-term security, it currently creates a "dark period" where offensive capabilities outpace defenses, exacerbating challenges in patching vulnerabilities quickly.

marsbit2 дні тому 04:13

How Dangerous is Mythos? Why Anthropic Decided Not to Release the New Model Publicly

marsbit2 дні тому 04:13

Anthropic's 'Cry' Sparks Wall Street Panic! 27-Year-Old, Mythos Instantly Defeated by 8 AIs

Anthropic's announcement of Claude Mythos, an AI tool claiming to discover thousands of zero-day vulnerabilities—including a 27-year-old bug in OpenBSD—triggered alarm on Wall Street and prompted emergency meetings among financial regulators fearing systemic cyberattacks. However, independent tests revealed significant exaggerations in these claims. Researchers found that many reported vulnerabilities were in obsolete software or were impractical to exploit, and the findings relied on only 198 manual reviews. Furthermore, multiple smaller, open-source AI models (some with as few as 3 billion parameters) successfully identified the same critical flaws at a fraction of the cost, demonstrating that AI cybersecurity capability does not linearly scale with model size. Meanwhile, users reported severe performance degradation in Claude Opus 4.6, with reduced reasoning depth and increased API costs. Critics, including prominent hacker George Hotz, accused Anthropic of overstating risks for marketing purposes, creating a "wolf cry" scenario where hype overshadows reality.

marsbit04/12 08:03

Anthropic's 'Cry' Sparks Wall Street Panic! 27-Year-Old, Mythos Instantly Defeated by 8 AIs

marsbit04/12 08:03

How to Protect Your Digital Assets? A 15-Step Checklist from an OpenAI Co-founder

In the era of advanced AI, cybersecurity is no longer optional but a necessity. As AI tools like Anthropic's Mythos enable highly sophisticated and automated attacks, personal digital security requires proactive measures. OpenAI co-founder Andrej Karpathy’s 15-step "digital hygiene" checklist offers a foundational guide to self-protection: 1. Use a password manager to generate unique passwords. 2. Enable hardware security keys (e.g., YubiKey) for 2FA. 3. Use biometric authentication (Face ID, fingerprint). 4. Treat security questions as passwords—use random answers. 5. Encrypt disks (FileVault/BitLocker). 6. Reduce smart home devices to minimize attack surfaces. 7. Use Signal for encrypted messaging with auto-delete. 8. Switch to privacy-focused browsers like Brave. 9. Use independent search engines (e.g., Brave Search). 10. Employ virtual credit cards (e.g., Privacy.com) for online payments. 11. Use virtual mailing addresses to protect physical location. 12. Avoid clicking email links; manually type URLs. 13. Use VPNs (e.g., Mullvad) on untrusted networks. 14. Enable DNS-level ad/tracker blocking (e.g., NextDNS). 15. Monitor network activity with tools like Little Snitch. With AI-powered threats likely to become widely available soon, implementing these steps now is critical to safeguarding digital assets.

marsbit04/12 06:08

How to Protect Your Digital Assets? A 15-Step Checklist from an OpenAI Co-founder

marsbit04/12 06:08

All about why blockchain firms will now become part of U.S Treasury’s cybersecurity program

The U.S. Department of the Treasury has launched a new initiative through its Office of Cybersecurity and Critical Infrastructure Protection (OCCIP) to include blockchain and crypto firms in a cybersecurity program. This move aims to share timely cyber threat intelligence to help these firms prevent and respond to attacks. The announcement comes amid ongoing security challenges in the crypto industry, highlighted by incidents like the 2026 Drift Protocol attack, which resulted in approximately $285 million in losses and was linked to state-backed cyber operations. The article underscores that security vulnerabilities remain a critical systemic risk in crypto, capable of triggering prolonged market downturns, as seen during the 2022 crash following the collapse of FTX. By providing early warnings and fostering coordinated risk management, the Treasury’s program seeks to strengthen institutional confidence and reduce the likelihood of future large-scale market disruptions.

ambcrypto04/10 23:02

All about why blockchain firms will now become part of U.S Treasury’s cybersecurity program

ambcrypto04/10 23:02

TechFlow Intelligence Bureau: Anthropic Mythos Triggers Financial Regulatory Alarms, WLFI Unlocks 27 Billion Tokens with 0 Dividends

TechFlow Intelligence Report: Anthropic's Mythos AI model has triggered urgent meetings between the U.S. Treasury Secretary, Fed Chair, and major bank CEOs due to its ability to autonomously find software vulnerabilities and launch attacks, elevating AI safety to a systemic financial risk. In crypto, Bitcoin surpassed $70k amid significant ETF inflows, while the World Liberty Fi (WLFI) project unlocked 27 billion tokens with a controversial profit model directing 100% of protocol profits to the Trump family, offering stakers only 2% inflationary rewards. Other key developments include Microsoft facing criticism over Copilot's reliability, Google's AI search summaries being caught providing false information, and a major AI supply chain attack affecting projects like Apifox and LiteLLM. A solo Bitcoin miner with minimal computing power defied odds to mine a full block. Regulatory shifts are accelerating with Japan classifying crypto as financial instruments and the SEC frameworks taking shape. In macro, a whale shorted $74M in oil, betting against geopolitical tensions, while Moody's warned of a potential $680B AI investment bubble among tech giants. The overarching theme is the convergence of technology, finance, and geopolitics: AI breakthroughs are now systemic threats, geopolitical events are being priced on-chain in real-time, and supply chain vulnerabilities reveal the fragility of our interconnected digital ecosystem.

marsbit04/10 12:19

TechFlow Intelligence Bureau: Anthropic Mythos Triggers Financial Regulatory Alarms, WLFI Unlocks 27 Billion Tokens with 0 Dividends

marsbit04/10 12:19

Crypto Firms To Receive Cybersecurity Support Under US Treasury’s New Initiative

The US Department of the Treasury has launched a new initiative to provide cybersecurity support to eligible digital asset firms, aiming to reduce growing cyber risks. Led by the Office of Cybersecurity and Critical Infrastructure Protection (OCCIP), the program offers practical threat intelligence to help companies strengthen defenses and respond effectively to incidents. Officials emphasized the increasing role of crypto in the financial system and the need to integrate cybersecurity as a foundational element. The initiative aligns with the GENIUS Act and builds on recommendations from the President’s Working Group on Digital Assets. Additionally, Treasury released a proposed rule to clarify anti-money laundering and sanctions compliance for stablecoin issuers, signaling a broader push toward regulatory clarity and stronger safeguards.

bitcoinist04/10 08:02

Crypto Firms To Receive Cybersecurity Support Under US Treasury’s New Initiative

bitcoinist04/10 08:02

Crypto Investigator Exposes North Korea’s Secret $1 Million A Month Scheme

Cryptocurrency investigator ZachXBT exposed a North Korean state-sponsored IT worker scheme generating over $1 million per month. An infostealer malware breach revealed an internal payment server (luckyguys[.]site) used by DPRK operatives to manage crypto payments and fake identities. The data included chat logs, transaction histories, and organizational details, showing over $3.5 million flowed through linked wallets since late 2025. Workers posed as freelancers, used fabricated identities, and targeted DeFi projects. The operation, though less sophisticated than other DPRK hacking groups, highlights the regime's use of crypto for revenue generation and sanctions evasion. The site was taken down after the report.

bitcoinist04/09 15:02

Crypto Investigator Exposes North Korea’s Secret $1 Million A Month Scheme

bitcoinist04/09 15:02

Anthropic Has Developed the Most Powerful AI Model in History, But Dares Not Release It...

Anthropic has developed its most powerful AI model to date, named Mythos, which boasts over 10 trillion parameters—far surpassing current leading models—and a training cost of $10 billion. Mythos demonstrates exceptional capabilities in software coding, academic reasoning, and cybersecurity, significantly outperforming its predecessor, Claude Opus 4.6, in benchmark tests. In a matter of weeks, Mythos autonomously identified thousands of previously unknown zero-day vulnerabilities across major operating systems, browsers, and critical software. Notable discoveries include a 27-year-old flaw in OpenBSD and a 16-year-old vulnerability in FFmpeg, demonstrating its ability to find and exploit complex security weaknesses with minimal human intervention. Due to its unprecedented power and potential for misuse by malicious actors, Anthropic has refrained from publicly releasing Mythos. Instead, it launched the "Project Glasswing" initiative, partnering with leading tech and financial firms like Amazon, Apple, Google, Microsoft, and JPMorgan. Through this program, select organizations gain early access to Mythos Preview to identify and patch vulnerabilities in critical systems. Anthropic is providing $100 million in usage credits to participants and donating millions to open-source security foundations. While AI like Mythos could lower the barrier for cyber attacks, Anthropic emphasizes its potential to greatly enhance defensive capabilities, helping to build more resilient systems and maintain a balanced security landscape.

Odaily星球日报04/08 03:59

Anthropic Has Developed the Most Powerful AI Model in History, But Dares Not Release It...

Odaily星球日报04/08 03:59

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