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Anthropic Launches AI Cybersecurity Initiative With Big Tech Partners

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Anthropic has unveiled a new cybersecurity initiative, “Project Glasswing,” in collaboration with major technology firms including Amazon, Microsoft and Apple.

The program provides selected partners with early access to an advanced AI model, “Claude Mythos Preview,” designed for defensive cybersecurity applications. Additional collaborators include CrowdStrike, Palo Alto Networks, Google and Nvidia.

Anthropic stated that the model has already identified thousands of critical vulnerabilities across operating systems, browsers and other software, demonstrating its potential as a tool for proactive threat detection and mitigation.

The initiative emerges amid growing concerns over AI-driven cyberattacks. Industry discussions, including those at recent cybersecurity conferences, have increasingly focused on whether traditional security tools can keep pace with AI-enabled threats.

Under Project Glasswing, partner organizations will deploy the model in controlled environments to strengthen defensive capabilities. Anthropic also plans to share findings across the industry to improve overall cybersecurity resilience.

The company is extending access to around 40 additional organizations responsible for critical infrastructure and has committed up to $100 million in usage credits, along with $4 million in funding for open-source security initiatives.

Anthropic confirmed ongoing discussions with U.S. government agencies regarding the model’s capabilities and risk profile, reflecting heightened regulatory and national security interest in advanced AI systems.

The move underscores a broader industry shift: as AI becomes both a tool for attackers and defenders, leading technology firms are increasingly collaborating to build collective cybersecurity defenses.

Russia Looks to WeChat and Douyin to Build Max Messaging Platform

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Russia is turning to Chinese digital platforms as benchmarks for developing its domestic messaging ecosystem, with VK aiming to transform its Max app into a multifunctional “super app.”

According to CEO Vladimir Kiriyenko, the company is closely studying WeChat—developed by Tencent—and Douyin, the Chinese counterpart of TikTok, as models for integrating messaging, payments, e-commerce and business services into a single platform.

The Kremlin has been actively promoting Max as a domestic alternative to Telegram, which remains the most widely used messaging service in Russia. However, adoption has been limited, with users citing weaker functionality compared to established platforms.

VK aims to replicate the “platform economy” approach seen in China, where apps serve as ecosystems combining communication, financial services and commerce. Kiriyenko noted that Max will leverage an open architecture to integrate third-party chatbots and services, enabling businesses to interact directly with users. Around 500,000 companies have already registered on the platform.

The strategy includes incorporating features inspired by WeChat’s mini-program ecosystem and Douyin’s content-driven e-commerce model, where users discover and purchase products through creator-led content.

Russia’s push reflects broader efforts to reduce reliance on foreign technology platforms while fostering domestic digital infrastructure. However, replicating the scale and functionality of Chinese super apps presents significant technical and adoption challenges.

Citigroup Uses AI to Accelerate Onboarding and System Upgrades

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Citigroup is deploying artificial intelligence to streamline operations, focusing on faster account onboarding and modernization of legacy systems.

According to Tim Ryan, AI tools are being used to migrate data from outdated infrastructure, automate software development tasks and accelerate system testing. These improvements are part of a broader effort to enhance productivity and meet regulatory requirements.

One of the most immediate impacts has been in client onboarding. AI-powered document processing has reduced review times for account openings in the bank’s U.S. services division from over an hour to approximately 15 minutes, significantly improving efficiency.

The initiative also supports Citigroup’s long-term strategy to reduce reliance on external contractors. Previously, contractors made up about 50% of the bank’s technology workforce. The company aims to bring that figure down to 20% by hiring more in-house engineers and strengthening internal capabilities.

Citigroup has expanded its technology workforce to roughly 50,000 employees and continues to increase investment in digital infrastructure. The push toward internal development aligns with its goal of deploying standardized AI tools across business units.

The bank is prioritizing automation in key operational areas, including client and employee onboarding as well as compliance processes such as “know your customer” (KYC) checks.

These efforts come as U.S. regulators, including the Federal Reserve and the Office of the Comptroller of the Currency, continue to require improvements in risk management, data governance and reporting accuracy following consent orders issued in 2020.

Citigroup’s approach reflects a broader trend in the banking sector, where AI is increasingly used to optimize operations, reduce costs and adapt to evolving regulatory and competitive pressures.