Global AI Native Industry Insights – 20260525 – Anthropic | Cursor | Google | more
Anthropic finds 10,000 vulnerabilities, Cursor’s SDK launch, Google’s Gemini Omni AI. Discover more in Today’s Global AI Native Industry Insights.
1. Anthropic reports Project Glasswing has found over 10,000 critical software vulnerabilities in first month
Anthropic announced that Project Glasswing, its collaborative AI cybersecurity initiative launched last month, has discovered more than 10,000 high or critical-severity vulnerabilities in essential software systems. The project involves approximately 50 partners using Claude Mythos Preview model to scan critical software infrastructure worldwide. Anthropic noted that progress on software security is now limited by how quickly organizations can verify, disclose, and patch the large numbers of vulnerabilities found by AI rather than by discovery speed.
Read more: https://www.anthropic.com/research/glasswing-initial-update
Video Credit: NotebookLM
2. Cursor releases SDK for building coding agents with Composer 2.5 in Python and TypeScript
Cursor announced the public release of its SDK that allows developers to build programmatic coding agents using the same runtime and models that power the Cursor desktop app. The SDK supports both Python and TypeScript and includes access to Composer 2.5, a specialized coding model that achieves frontier-level performance at significantly lower cost than general-purpose models. Developers can deploy agents locally, in the cloud, or on self-hosted infrastructure, with cloud agents running on dedicated VMs that continue execution even when the initiating machine goes offline.
Read more: https://cursor.com/docs/sdk/python
Video Credit: @cursor_ai on X
3. Google launches Gemini Omni Flash multimodal AI model for video creation and editing
Google announced Gemini Omni, a new multimodal AI model family that can create and edit videos through natural language conversations. The first model Gemini Omni Flash is rolling out to the Gemini app, YouTube Shorts, and Google Flow. Users can combine text, images, audio, and video as input to generate high-quality videos grounded in real-world knowledge. The model supports conversational editing where each instruction builds on previous changes while maintaining consistency in characters, physics, and scenes.
Read more: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-omni/
Video Credit: @Google on X
That’s all for today’s Global AI Native Industry Insights. Join us at AI Native Foundation Membership Dashboard for the latest insights on AI Native, or follow our linkedin account at AI Native Foundation and our twitter account at AINativeF.