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Gemini 4 Argon with cybersecurity defense capabilities

Frontier-level performance in vulnerability detection, and automated patching

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Capabilities

Gemini 4 Argon provides a decisive advantage in today’s complex cybersecurity landscape.

The model is trained to be highly capable at cyber defense, has frontier-level performance in vulnerability detection, and automated patching.

Autonomous vulnerability discovery

Demonstrates frontier-level performance in autonomous vulnerability discovery. Capable of navigating complex codebases to uncover critical hidden vulnerabilities.

Penetration testing

Performs black-box penetration of web systems with access only to the running website and its public behavior, without application source code, to discover the attack surface, identify vulnerabilities, and produce validation evidence.

Automated patching

Generates validated, high-quality code fixes automatically after discovering vulnerabilities. So defenders can neutralize potential threats before attackers discover and exploit them.

Fairwind Program

The Fairwind Program gives trusted cyber defenders a critical head start against cyber threats, while making sure models are deployed responsibly.

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Performance

Gemini 4 Argon with cybersecurity defense capabilities, starting to roll out to a set of trusted defenders via the Fairwind Program, provides a decisive advantage in today’s complex cybersecurity landscape.

A bar chart displaying the CWE-bench v1 leaderboard, showing scores for various AI models. Grok 4.7, Gemini 4 Argon, and GPT-6 Astra lead the ranking with scores of 68% each, followed closely by Claude Opus 5.5 at 67%.
Two bar charts comparing the performance of Gemini 4 Argon and Gemini 3.8 Flash Cyber on security vulnerability discovery benchmarks:* **Real-world Vulnerability Discovery:** Gemini 4 Argon scores 85.8% compared to Gemini 3.8 Flash Cyber's 71.0%.* **Wiz Penetration Test Benchmark:** Gemini 4 Argon scores 70.9% compared to Gemini 3.8 Flash Cyber's 58.2%.
A bar chart titled "Gray Swan IPI" comparing the attack success rate of various AI models across different attempt levels (k=1, 10, and 15), where a lower score is better. Gemini 4 Argon achieves the lowest success rate of 0.7% at k=15, while Kimi K3 has the highest at 52.7%.