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OpenAI launches the GPT-5.6-Cyber model, enhancing vulnerability discovery and security research capabilities

OpenAI announced the expansion of its cybersecurity defense program Daybreak and launched the GPT-5.6-Cyber model specifically for the cybersecurity field, aimed at helping authorized security researchers and defense teams enhance their vulnerability discovery, threat analysis, and security testing capabilities. As attackers increasingly leverage AI to launch faster and larger-scale cyberattacks, defenders need to gain advanced AI capabilities in advance.This Daybreak offers two types of access: Daybreak Blue is aimed at most defense teams, providing general models such as GPT-5.6 Sol for vulnerability discovery, secure code review, malware analysis, incident response, and patch validation; Daybreak Red is aimed at advanced security research, providing GPT-5.6-Cyber for authorized vulnerability research, vulnerability validation, and security testing. GPT-5.6-Cyber is trained on GPT-5.6 Sol and optimized for cybersecurity tasks, including discovering zero-day vulnerabilities and analyzing exploit chains. It has been used in actual vulnerability research and has identified high-risk vulnerabilities in software, including the Chrome V8 JavaScript engine. Additionally, OpenAI stated that GPT-5.6-Cyber has also helped discover high-risk vulnerabilities in various domains, including privilege escalation vulnerabilities in mobile operating systems, remote code execution vulnerabilities in databases, and hundreds of privilege escalation vulnerabilities in operating system kernels.OpenAI also emphasized that Daybreak Red will only be accessible to approved individuals and organizations, controlling access through measures such as authentication, account security, monitoring, usage restrictions, and legal disclaimers. The company stated that it will continue to strengthen security monitoring, access management, and model security testing to reduce the risk of advanced cybersecurity models being abused.

first_img The Central Cyberspace Affairs Commission announced the results of the first phase of the rectification of chaotic AI applications, with over 14,000 non-compliant products dealt with

The Central Cyberspace Affairs Commission recently announced the progress of the first phase of the "Clear and Bright: Rectifying AI Application Chaos" special action. Since its launch in April 2026, this action has focused on issues such as large models not being registered as required, insufficient review and filtering capabilities, AI data poisoning, and inadequate implementation of content labeling. As of now, the first phase has dealt with over 14,000 AI products, including non-compliant websites, applications, and intelligent agents, cleaned up more than 6 million illegal and non-compliant pieces of information, handled over 26,000 non-compliant accounts, and removed over 1,300 non-compliant AI products and 9 non-compliant open-source datasets.During the special action, many local cyberspace departments have taken targeted measures such as establishing coordinated regulatory mechanisms and setting up reporting areas. Key platform companies such as Huawei, Alibaba, Zhiyu, and DeepSeek have also successively improved their registration review, content interception, and data anomaly detection mechanisms. The Central Cyberspace Affairs Commission stated that the next phase of governance will focus on cracking down on prominent issues such as the use of AI technology to create and disseminate false information, spread vulgar content, impersonate others, infringe on the rights of minors, and engage in internet water army activities, further increasing enforcement efforts and urging platforms to enhance their prevention and governance capabilities.

Cybrid: Enterprise-level stablecoin applications see significant growth, with over 80% of surveyed companies planning to adopt them within the year

The latest report from payment infrastructure company Cybrid shows that the adoption of stablecoins by enterprises is accelerating towards becoming mainstream. Among the 468 corporate executives and business leaders surveyed, as many as 42% of companies are already using stablecoins for cross-border payments, and 88% of respondents indicated they are very likely to adopt them within the next 12 months, while only 2% of respondents said they would rely entirely on traditional payment networks.Data shows that companies using stablecoins save an average of 35% on cross-border payment costs; for large enterprises processing over $100 million monthly, cost savings can reach up to 47%. The most common use cases for companies using stablecoins are: payroll disbursement, vendor payments, and customer payments. In addition, 71% of respondents emphasized that clear regulatory policies (such as the recently passed stablecoin regulatory bill GENIUS Act in the U.S.) are the most critical factor driving their expansion of stablecoin usage, with its importance even surpassing the level of infrastructure improvement.With the growth in demand, the supporting infrastructure in the industry is also continuously expanding. Data from payment platform Paybis shows that in the first four months of 2026, B2B transactions accounted for nearly 98% of the total stablecoin payments on its platform. This Monday, Bank of New York Mellon (BNY) also announced the expansion of its digital asset custody platform, allowing institutional clients to store and circulate Circle's USDC directly through the bank.
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