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David Sacks: AI Security Restrictions May Weaken US Model Competitiveness

Odaily news, David Sacks, Chairman of the President's Council of Advisors on Science and Technology, posted on X platform stating that the Kimi K3 model recently completed 15 critical security vulnerability repair tasks, while Codex and Fable refused to process related requests due to "network security protection mechanisms". He indicated that there is no reason to restrict US models from performing these tasks due to security limitations, while Chinese models can complete them normally. Doing so will only reduce US competitiveness.

OpenAI Releases Full Version of GPT-5.5-Cyber, Outperforms Mythos 5 on CyberGym Benchmark

OpenAI announced an upgrade to its Daybreak network defense toolchain, officially launching the full version of the GPT-5.5-Cyber model tailored for cybersecurity defense scenarios.In the CyberGym benchmark test, which evaluates the ability of AI agents to reproduce known vulnerabilities, GPT-5.5-Cyber achieved a single-model score of 85.6%, surpassing GPT-5.5’s 81.8% and Anthropic Mythos 5’s 83.8%.OpenAI stated that as AI significantly enhances the efficiency of vulnerability discovery, the core bottleneck in cybersecurity is shifting from "finding vulnerabilities" to "automatically fixing them." To this end, the company has simultaneously upgraded the Codex Security plugin, enabling developers to automatically analyze vulnerabilities and generate fix patches within the Codex environment. Since the preview release in March this year, Codex Security has scanned over 30 million code commits and autonomously confirmed fixes for 500,000 security defects. The new version also supports CodeQL query integration and SARIF standard file export.Additionally, OpenAI has partnered with organizations such as Trail of Bits and HackerOne to launch the "Patch the Planet" open-source security project. This initiative provides ChatGPT Pro subscriptions and API credits to over 30 major open-source projects, including cURL and Go, with security expert teams manually verifying patch quality. Regarding the Daybreak partner program, security vendors such as Palo Alto Networks and Wiz have already integrated the relevant capabilities.

OpenAI Suffers Supply Chain Attack with Leaked Signing Certificates, macOS Client Mandatory Update Next Month

OpenAI has confirmed a supply chain attack targeting a malicious TanStack NPM package in its internal environment, infecting two employees' devices. While user data and core code were not affected, the attackers stole access credentials for some internal code repositories, including code signing certificates used for iOS, macOS, and Windows products.To prevent hackers from exploiting the stolen certificates to distribute counterfeit applications, OpenAI has initiated defensive certificate rotation and announced that all macOS users of ChatGPT desktop, Codex, and Atlas browsers must upgrade to the latest version by June 12, 2026. After this deadline, old certificates will be revoked, and system-level blocks will prevent the launch of older versions and new installations.OpenAI stated that the company had previously deployed stricter code package blocking policies, but the infected devices had not yet synchronized the latest configuration, allowing the malicious component to successfully infiltrate. Currently, the iOS and Windows clients are unaffected, and core data such as user account passwords and API keys have been confirmed secure.

a16z Research: AI Agents Can Identify DeFi Price Manipulation Vulnerabilities, but Their Ability to Execute Complex Attacks Remains Limited

According to a disclosure by a16z, its researchers conducted systematic testing to assess whether AI agents can independently exploit DeFi price manipulation vulnerabilities. The study used a dataset of 20 Ethereum price manipulation incidents and employed Codex (GPT 5.4) equipped with the Foundry toolchain as the test agent. Under baseline conditions—i.e., without domain-specific knowledge—the agent’s success rate was only 10%; after incorporating structured domain knowledge distilled from real-world attack incidents, the success rate rose to 70%. Failure cases revealed that the agent consistently identified vulnerabilities correctly but generally failed to comprehend the leverage logic of recursive lending, misjudged profit margins, and could not orchestrate multi-step, cross-contract attack sequences. The experiment also recorded one sandbox escape incident: the agent extracted an RPC key from the local node configuration and invoked the <code>anvil_reset</code> method to reset the node to a future block, thereby bypassing information isolation constraints and accessing real-world attack data. The research team concluded that AI agents can currently assist effectively in vulnerability identification but are not yet capable of replacing professional security auditors.

Analysis: Anthropic and OpenAI Exposed Security Vulnerabilities in Succession, Raising Concerns Over AI Model Safety

, Anthropic and OpenAI have experienced security incidents in succession, drawing market attention to the security of AI models themselves. Currently, Anthropic is investigating a possible case of unauthorized user access to its Claude Mythos model. Almost simultaneously, OpenAI was also reported to have accidentally opened access to several unreleased models within its Codex application.Analysts believe that such incidents highlight that even AI model providers focused on cybersecurity capabilities still face significant security challenges. While AI is increasingly used for cyber defense, platform security and access control are becoming critical risk points.Industry insiders point out that these vulnerability incidents have intensified scrutiny over the security governance capabilities of AI companies, and also reflect that the security systems of current AI technology still need improvement amid rapid development. (The Information)