Using Gemini 4 Argon to protect against Cyber attackers

Summary
Gal Nagli, Head of Offensive AI at Wiz, presents how Wiz collaborated with Google DeepMind to deploy Gemini 4 Argon for automated vulnerability discovery and remediation. He highlights shadow A/B testing results against other models and demonstrates how the model chains multi-step vulnerabilities and assists defense initiatives like the “Scan for Good” project.

What is shown

• [00:13] Wiz dashboard showing an Attack Path Visualization and remediation recommendations for authentication bypass vulnerabilities.
• [00:26] The “Red Agent Scan Log” interface running discovery scans on cloud infrastructure.
• [00:30] A comparative benchmark chart showing “Critical vulnerabilities found”: Gemini 4 Argon achieves 2.15x relative to baseline models (1.00x).
• [00:36] The Wiz Attack Surface Findings console displaying categorized security issues.
• [01:00] The “Scan for Good” portal by Wiz Research and Google DeepMind, scanning public infrastructure and services.
• [01:13] A healthcare software vulnerability case study where an arbitrary file download led to a configuration file containing application master keys, diagrammed in animated graphics and remediated via the “Green Agent Remediation” console [01:48].

Claims & numbers

• 2.15x more critical vulnerabilities: In shadow A/B testing on real-world systems, the presenter states Gemini 4 Argon identified over 2x more critical vulnerabilities than baseline models while consuming fewer tokens.
• Scan for Good coverage: The portal shown reports monitoring over 326,000 public endpoints and 17,700 cloud assets across public services and infrastructure.
• Long-horizon chaining: The presenter claims the model can operate autonomously across long horizon tasks for hours, chaining disparate signals and flaws to expose severe access risks.

Notable quotes

• “When we used Gemini 4 in shadow A/B testing on real-world systems, we saw that it was able to find over two times more vulnerabilities than other baseline models while using less tokens.” [00:25]
• “It knows how to work tirelessly for hours, chaining complex vulnerabilities and signals to find very critical risks we weren’t able to find before using other SOTA models.” [00:47]
• “We believe defenders have the advantage of finding and fixing vulnerabilities pretty much faster than ever before and outpacing attackers.” [01:55]

Assessment
This is an official promotional case-study video released by Google DeepMind detailing enterprise partner Wiz’s integration of Gemini 4 Argon. The video features real UI captures and case descriptions, though the exact technical logs of the autonomous exploitation steps are summarized via clean marketing animations and stylized screens.

Described by gemini-3.8-flash on 2026-10-13 from the video’s audio and frames.