Anthropic and OpenAI Race to Control AI Cybersecurity Tools with Competing Products
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β’Anthropic and OpenAI are both developing advanced AI cybersecurity products in a competitive race to control offensive and defensive capabilities, with OpenAI finalizing a security product for limited partner release and Anthropic running Project Glasswing internally.
β’Project Glasswing brings together major tech companies including Amazon, Apple, Microsoft, Google, and others to proactively hunt critical software vulnerabilities before attackers exploit them.
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A joint study by Anthropic and MATS Fellows found that Claude Sonnet and GPT-5 could produce exploits against Ethereum smart contracts worth $4.6 million and uncovered two novel zero-day vulnerabilities in nearly 3,000 recently deployed contracts.
β’ US Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell convened Wall Street leaders on April 7 to warn about Anthropic's new Mythos AI model, which can identify software vulnerabilities that have evaded decades of human review and millions of automated security tests.
β’ Mythos is being released only to carefully selected partners for defensive security work, as Anthropic fears the tool could provide ransomware gangs and hostile governments with powerful weapons to steal data or disrupt critical infrastructure.
β’ The model represents a significant leap in AI cybersecurity capabilities, with the potential to both protect systems through accelerated penetration testing and pose risks if misused by malicious actors.
β’ French cybersecurity funding has undergone a structural shift driven by AI-powered threats, regulatory requirements, and U.S. expansion, with Q1 2026 alone surpassing all of 2025's funding activity.
β’ The sector is emerging as a frontline investment priority, though a government report warns of a β¬3 billion funding gap over five years for breakthrough technologies needed for future defense.
β’ The acceleration reflects growing global demand for advanced security solutions as AI capabilities reshape both offensive and defensive cybersecurity strategies.
β’ OpenAI is finalizing an advanced cybersecurity product designed to defend critical systems, planning to release it first to a limited set of partners as reported by Axios.
β’ The move represents a strategic shift for frontier AI firms to demonstrate their ability to support defensive security infrastructure amid growing concerns about offensive AI misuse.
β’ AI companies face mounting pressure to prove their models can protect critical systems rather than enable attackers, reshaping how they frame commercial opportunities in the security sector.
β’ Anthropic announced Project Glasswing, a collaborative initiative involving Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks to secure critical software infrastructure.
β’ The initiative provides select firms access to Claude Mythos2 preview model for defensive cybersecurity work, which has reportedly identified thousands of severe vulnerabilities in major operating systems and browsers.
β’ The program aims to give defenders a durable advantage in the AI-driven cybersecurity era while controlling access to prevent misuse by attackers.
β’ OpenAI testified in support of an Illinois bill that shields AI labs from liability for products causing 'critical harm,' including potential mass deaths or catastrophic financial losses.
β’ The legislation is part of a broader industry push amid ramped-up state and federal AI enforcement, such as Florida's probe into OpenAI for potential criminal harm.
β’ Similar liability-limiting measures are under consideration in at least three other states, according to policy trackers monitoring AI legislation.
β’ Nava, an AI infrastructure startup, raised $22 million in funding led by Greenoaks Capital to expand its GPU cloud and data center capabilities.
β’ The investment targets growing US demand for high-performance computing to train and deploy advanced AI models.
β’ Nava's platform supports AI developers with scalable resources amid chip shortages and cloud competition.
β’ Anthropic launched Claude Mythos, a cybersecurity AI model that has discovered thousands of zero-day bugs, enhancing defenses against exploits.
β’ The preview version identifies vulnerabilities in open-source projects and will soon charge for detailed release information to clients.
β’ While boosting cybersecurity, the tool raises concerns over potential misuse by threat actors to weaponize the findings.
β’ Dropzone AI, a Seattle-based startup, secured $16.8 million in funding to develop autonomous AI agents for cybersecurity operations.
β’ The company is a finalist for GeekWire Awards' AI Innovation of the Year, competing with firms transforming HR, retail, biotech, and more.
β’ Investors back the platform amid surging demand for AI-driven threat detection and response in US enterprises.
β’ Zencoder (For Good AI Inc.) unveiled Zenflow Work, expanding its AI orchestration platform to automate planning, coordination, and engineering in business units like product, marketing, sales, finance, and HR.
β’ The platform addresses tasks beyond coding agents, targeting everyday business workflows.
β’ This launch positions Zencoder as a comprehensive AI solution for enterprise efficiency in US tech sectors.
β’ Anthropic launched Project Glasswing, collaborating with Apple, Google, and Microsoft to deploy Claude Mythos Preview in identifying and patching critical software vulnerabilities preemptively.
β’ The initiative unites rivals to leverage AI against cyber threats targeting US software infrastructure.
β’ By fixing flaws before exploitation, the project aims to bolster national cybersecurity amid escalating AI-driven attacks.
β’ Amazon Web Services (AWS) achieved a $15 billion annual run rate in AI revenue during Q1 2026, according to CEO Andy Jassy's annual shareholder letter.
β’ Amazon's internal chips business now generates over $20 billion per year, supporting AI infrastructure and custom silicon development.
β’ The figures underscore Amazon's aggressive push into AI and cloud computing dominance amid intensifying competition from Microsoft Azure and Google Cloud.