Google представила Gemini 3.8 Flash Cyber для поиска уязвимостей и автоматического исправления кода

Hardware Anatomy is an interactive 3D visualizer built with Gemini 3.8 Flash in Google AI Studio that generates realistic Three.js renderings of physically-proportioned teardowns for hardware devices. It automatically decomposes devices into layers you can explode and inspect with a deconstruction slider. ## Gemini 3.8 Flash Cyber: expert cyber performance Gemini 3.8 Flash Cyber, available to a set of trusted defenders via the Fairwind Program, provides a decisive advantage in today’s complex cybersecurity landscape, with the Flash speed and cost that enables quick iteration. ### Autonomous vulnerability discovery [...] Chart showing Gemini 3.8 Flash Cyber real world vulnerability discovery ### Automated patching With Gemini 3.8 Flash Cyber, we focused specifically on equipping defenders with expert capabilities that give them an advantage over attackers. This is why we have invested in vulnerability fixing from the start, and prioritized it over offensive capabilities like exploi

## Capabilities Gemini 3.8 Flash Cyber provides a decisive advantage in today’s complex cybersecurity landscape, with the Flash speed and cost that enables quick iteration. The model is designed specifically for defenders, has frontier-level performance in vulnerability detection, and automated patching. A minimalist list search icon in a white rounded square against a soft blue gradient background. Minimalist search list icon inside a black rounded square on a dark blue gradient background. ### Autonomous vulnerability discovery Demonstrates frontier-level performance in autonomous vulnerability discovery, with the Flash speed and cost that enables quick iteration. Capable of navigating complex codebases spanning 20 programming languages to uncover critical hidden vulnerabilities. [...] ## Performance Gemini 3.8 Flash Cyber, available to a set of trusted defenders via the Fairwind Program, provides a decisive advantage in today’s complex cybersecurity landscape, with the Flash s

Gemini 3.8 Flash Cyber is Google’s most capable cybersecurity model, providing frontier-level performance in vulnerability detection and automated patching with the speed needed for quick iteration. It is designed specifically for trusted defenders and is available through the Fairwind Program. On CyberGym, a standard industry benchmark for finding vulnerabilities, the model demonstrates frontier-level autonomous vulnerability discovery and surpasses both Gemini 3.5 Flash Cyber and significantly larger frontier models. Google also evaluated it on an internal benchmark covering complex codebases across 20 programming languages, where it achieved a success rate exceeding 70% in discovering a wide range of vulnerabilities. Gemini 3.8 Flash Cyber prioritizes vulnerability fixing over [...] 3.8 Flash Cyber prioritizes vulnerability fixing over offensive capabilities such as exploitation, equipping defenders with expert capabilities that can help them maintain an advantage over attackers.

The goal was to equip defenders with expert-level capabilities to give them a leg up over threat actors (whether malicious, fellow AI agents, or human hackers). “We have invested in vulnerability fixing from the start, and prioritized it over offensive capabilities like exploitation,” Doshi and Popa explain. The model ships a more permissive set of mitigations for cybersecurity safeguards — which is why, for now, it is only being shared with limited partners — and safeguards against misuse in cyber offense and areas like chemical, biological, radiological, and nuclear (CBRN). Google is already using 3.8 Flash Cyber to secure its own code; it produced 2.6 times more correct patches in Chrome vulnerabilities versus much larger commercial models. [...] ## Flash Cyber is already securing Google's code Flash Cyber is initially being rolled out to “trusted defenders” through Google’s Fairwind Program, which prioritizes government authorities, critical-infrastructure operators, and other p

Skip to main contentGoogle just dropped Gemini 3.8 Flash and 3.8 Flash Cyber: Two new AI models for agentic tasks, coding, and cybersecurity : r/AIDeveloperNews Open menu Open navigation running at Flash-tier latencies. Outperforms larger frontier models on DeepSWE v1.1 (autonomous end-to-end coding) and hits 54.9% on HLE-Verified. Introduces configurable effort levels so you can dial down token usage for speed/cost or raise it for heavy reasoning. Gemini 3.8 Flash Cyber Specialized for vulnerability detection across 20+ programming languages and automated patching. Reaches 47.2% pass@1 on CWE-Bench (Collinear) for automated bug fixing while running at Flash speed/cost. Rolled out to trusted defenders through Google's new Fairwind Program rather than the public API.

GIF 5:06 PM · Sep 2, 202681.2KViews 91 @GoogleDeepMind Google DeepMind @GoogleDeepMind Sep 2 Security teams often face a tough trade-off: large frontier models can be expensive and slow to use, while smaller options struggle with complex code repair. 3.8 Flash Cyber generates secure, deployable fixes in minutes – all within an organization's cloud environment. 9 @GoogleDeepMind Google DeepMind @GoogleDeepMind Sep 2 On benchmarks like CyberGym, the model leads in finding weaknesses autonomously while staying fast and efficient. In real-world testing across @googlechrome codebases, it produced 2.6 times more valid fixes to help protect software faster. 2 @GoogleDeepMind Google DeepMind @GoogleDeepMind Sep 2 [...] Log inSign up ## Post # Google DeepMind on X: "Gemini 3.8 Flash Cyber gives defenders a decisive advantage with expert vulnerability detection and autonomous patching. Here’s how it helps teams stay ahead of emerging