# Gemini 3.5 Flash Cyber

Gemini 3.5 Flash Cyber is an AI model released by Google on Jul 21 2026.

## Facts

| Field | Value |
| --- | --- |
| Model | Gemini 3.5 Flash Cyber |
| Developer | Google |
| Release date | Tuesday, Jul 21 2026 |
| Licensing | Proprietary |

## About Gemini 3.5 Flash Cyber

Gemini 3.5 Flash Cyber, announced July 21, 2026 alongside Gemini 3.6 Flash and 3.5 Flash-Lite, was Google's first cybersecurity-specialised Gemini model — built to find and patch critical software vulnerabilities, and deployed inside Google DeepMind's CodeMender agent. Google reported competitive performance on CyberGym, the benchmark for discovering and exploiting software weaknesses in sandboxed environments, at launch.

Unlike its general-purpose siblings, Flash Cyber did not ship to the public API: access was restricted to a limited pilot program for governments and trusted partners, reflecting the dual-use sensitivity of automated vulnerability discovery. The release marked the first time Google spun a domain-specialised variant out of the Flash line, positioning defensive security as its own product track rather than a capability folded into the flagship.

## Questions and answers

### When was Gemini 3.5 Flash Cyber released?

Gemini 3.5 Flash Cyber was released by Google on Tuesday, Jul 21 2026.

### Who made Gemini 3.5 Flash Cyber?

Gemini 3.5 Flash Cyber was built by Google. Builds the Gemini family of models through Google DeepMind. Integrates AI across Google products.

### Is Gemini 3.5 Flash Cyber open source?

No. Gemini 3.5 Flash Cyber is a proprietary model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.

### What came before and after Gemini 3.5 Flash Cyber?

Google's previous tracked release was Gemini 3.5 Flash-Lite on Jul 21 2026. It was followed by Gemini 3.7 Flash on Aug 13 2026.


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Canonical page: https://aireleasetracker.com/model/google/gemini-3.5-flash-cyber
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Benchmark scores are the figures published by the releasing lab at launch.