The Sec-Gemini team has announced the release of Sec-Gemini v1, an experimental AI model designed to advance cybersecurity AI frontiers. The model aims to help defenders secure against cyber threats by leveraging AI-powered cybersecurity workflows. Currently, defenders face a daunting task of securing against all cyber threats, while attackers only need to find and exploit a single vulnerability. AI-powered cybersecurity workflows have the potential to shift the balance back to the defenders by force multiplying cybersecurity professionals. Sec-Gemini v1 combines advanced capabilities with near real-time cybersecurity knowledge and tooling to achieve superior performance on key cybersecurity workflows. The model outperforms other models on key cybersecurity benchmarks, including incident root cause analysis, threat analysis, and vulnerability impact understanding. Sec-Gemini v1 is made freely available to select organizations, institutions, professionals, and NGOs for research purposes to promote collaboration across the cybersecurity community. The model has been integrated with Google Threat Intelligence, OSV, and other key data sources, allowing it to provide comprehensive answers to key cybersecurity questions. Sec-Gemini v1 has demonstrated its capabilities by outperforming other models on the CTI-MCQ and CTI-Root Cause Mapping benchmarks, with improvements of at least 11% and 10.5% respectively. The Sec-Gemini team is inviting interested parties to collaborate on advancing the AI cybersecurity frontier by requesting early access to Sec-Gemini v1 through a provided form.