惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

T
Threatpost
aimingoo的专栏
aimingoo的专栏
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
T
Tailwind CSS Blog
J
Java Code Geeks
博客园_首页
Google Online Security Blog
Google Online Security Blog
Hugging Face - Blog
Hugging Face - Blog
C
CXSECURITY Database RSS Feed - CXSecurity.com
I
Intezer
P
Palo Alto Networks Blog
V
Vulnerabilities – Threatpost
雷峰网
雷峰网
O
OpenAI News
SecWiki News
SecWiki News
小众软件
小众软件
酷 壳 – CoolShell
酷 壳 – CoolShell
美团技术团队
N
News | PayPal Newsroom
Project Zero
Project Zero
Forbes - Security
Forbes - Security
IT之家
IT之家
A
Arctic Wolf
WordPress大学
WordPress大学
Jina AI
Jina AI
T
Tor Project blog
博客园 - 三生石上(FineUI控件)
S
Secure Thoughts
Google DeepMind News
Google DeepMind News
Attack and Defense Labs
Attack and Defense Labs
博客园 - 聂微东
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
P
Privacy International News Feed
Cloudbric
Cloudbric
G
GRAHAM CLULEY
博客园 - 叶小钗
H
Hacker News: Front Page
腾讯CDC
量子位
Help Net Security
Help Net Security
人人都是产品经理
人人都是产品经理
C
Cyber Attacks, Cyber Crime and Cyber Security
月光博客
月光博客
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
宝玉的分享
宝玉的分享
爱范儿
爱范儿
L
Lohrmann on Cybersecurity
Hacker News - Newest:
Hacker News - Newest: "LLM"
Recorded Future
Recorded Future
C
CERT Recently Published Vulnerability Notes

Gemini Models

The latest AI news we announced in June 2026 Start building with Nano Banana 2 Lite and Gemini Omni Flash Fluid, natural voice translation with Gemini 3.5 Live Translate The latest AI news we announced in May 2026 How we used Gemini to build Google I/O 2026 9 demos of Gemini Omni and Gemini 3.5 in action Catch up on 12 major I/O 2026 moments I/O 2026 I/O 2026: Welcome to the agentic Gemini era Gemini 3.5: frontier intelligence with action Introducing Gemini Omni The latest AI news we announced in April 2026 Join the new AI Agents Vibe Coding Course from Google and Kaggle Gemini Embedding 2 is now generally available. Deep Research Max: a step change for autonomous research agents Gemini 3.1 Flash TTS: the next generation of expressive AI speech Gemma 4: Byte for byte, the most capable open models The latest AI news we announced in March 2026 Gemini 3.1 Flash Live: Making audio AI more natural and reliable The latest AI news we announced in February Gemini 3.1 Flash-Lite: Built for intelligence at scale Build with Nano Banana 2, our best image generation and editing model Nano Banana 2: Combining Pro capabilities with lightning-fast speed Gemini 3.1 Pro: A smarter model for your most complex tasks
Introducing computer use in Gemini 3.5 Flash
Mateo Quiros · 2026-06-25 · via Gemini Models

Computer use is now a built-in tool in Gemini 3.5 Flash to build agents that can interact across platforms.

Gemini 3.5 logo on a blue background

Your browser does not support the audio element.

Listen to article

This content is generated by Google AI. Generative AI is experimental

[[duration]] minutes

Computer use is now a built-in tool supported in Gemini 3.5 Flash, delivering our best performance yet for agentic computer use tasks. Previously only available as a standalone Gemini 2.5 computer use model, computer use is now integrated natively in the main Gemini Flash model. Gemini already excels at function calling and using built-in tools like Search and Maps grounding. With built-in computer use capability, developers can now use 3.5 Flash to reliably build custom agents that can see, reason and take action across browser, mobile and desktop environments. This unlocks improved performance for long-horizon and enterprise automation tasks like continuous software testing and knowledge work across professional applications.

Gemini 3.5 benchmarks

Developers and enterprises can start using computer use in 3.5 Flash via the Gemini API and Gemini Enterprise Agent Platform.

3.5 Flash uses computer use to analyse the Gemini app and return a categorized list of features.

3.5 Flash with computer use audits its own documentation for accessibility issues.

Making computer use safe in 3.5 Flash

To mitigate some of the prompt injection risks for agents operating in live environments, we use targeted adversarial training for computer use in Gemini 3.5 Flash. We’re also releasing two optional enterprise safeguard systems that enable enterprises to:

  • Require explicit user confirmation for sensitive or irreversible actions.
  • Automatically stop tasks if an indirect prompt injection is identified.

Taking a “defense-in-depth” approach, we encourage developers to combine these features with secure sandboxing, human-in-the-loop verification and strict access controls. Additional information on safety measures can be found in our best practices documentation.

We are already seeing customers drive value with computer use. Here’s what some of them have to say:

To start building with computer use today:

Get more stories from Google in your inbox.

Done. Just one step more.

Check your inbox to confirm your subscription.

You are already subscribed to our newsletter.

You can also subscribe with a

Related stories