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Google Cloud

Google Cloud

Software Development

Mountain View, California 3,343,859 followers

The new way to cloud.

About us

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Website
https://cloud.google.com/
Industry
Software Development
Company size
10,001+ employees
Headquarters
Mountain View, California

Updates

  • What an incredible day at the Google Cloud Security Forum Hong Kong! 🙌 It was brilliant to connect with so many forward-thinking business leaders and security experts. The energy across both tracks was unmatched, leaving us with one definitive takeaway: in the AI era, security is no longer a roadblock—it is an autonomous business enabler. Our attendees walked away with practical blueprints to secure the future, enriched by the frontline insights from our customer fireside chat: 🔹 Carl McConkey MSc BSc (Hons) CISSP CISM GLEG GSTRT SSAP (Head of Group Security, CLP) 🔹 Christopher Fields (Chief Information Security Officer, AIA) 🔹 Isaiah Wong (Head of Cybersecurity & Overseas IT, The Bank of East Asia (BEA)) A huge thank you to our incredible speakers, customers, and partners for making this day such a success. Let's keep collaborating to build a safer digital ecosystem! 🚀 Ready to dive deeper into these blueprints? Access all the sessions on demand and watch at your own pace! 🎬 https://goo.gle/453DzRH #GoogleCloudSecurity #CloudSecurity #CyberSecurity #GoogleCloudHK #Mandiant

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    3,343,859 followers

    How does a billion-user platform like YouTube move fast without things breaking? In the premiere episode of Emergent, Stephanie Wong goes into the engineering trenches with AI leaders to break down YouTube’s Prototyping Stack and show how they ship AI features fast and safely. Learn how to shift your mindset, embrace throw-away code, and build a sandbox that lets your team fail safely at hyper-speed → goo.gle/emergent

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    3,343,859 followers

    You’ve heard about agentic AI—but is your infrastructure ready to take you from planning to real-world results? We spoke to over 1,400 IT leaders to find out what matters most to them in AI in 2026. – What are their main challenges? – What are their strategies for success? Their consensus was clear. To make the most of the agentic era, you need an infrastructure that can cope with increased demands, including: 💰 the shift to continuous intelligence 💭 the growing importance of hybrid multicloud 🔐 evolving security and governance challenges Read the full report for real-world success stories, including how PUMA, Recursion, and Deutsche Telekom were able to get ahead → https://goo.gle/4bGOmVp (Spoiler: their infrastructure is key.)

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    3,343,859 followers

    You’ve built your multi-agent system, and you've evaluated its performance. But is it secure? Exposing agent endpoints makes them prime targets for prompt injection, and agents processing user data risk leaking sensitive PII. On our next livestream, join Aron Eidelman and Leonid Yankulin for a hands-on workshop covering how to harden your distributed systems with a defense-in-depth strategy. We’re covering: - Sensitive Data Protection: Create SDP templates to detect and redact Personally Identifiable Information (PII). - Application Safety: Intercept and sanitize user prompts using Model Armor to block prompt injections. - Red Teaming: Verify your security controls by running live Red Team scenarios. Tune in on July 21 at 1 PM PT / 4 PM ET.

    Secure Distributed Multi-Agent Systems with Model Armor

    Secure Distributed Multi-Agent Systems with Model Armor

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  • Find and fix software vulnerabilities with CodeMender, our AI code security agent—now in preview. As a security agent managed and hosted by Google, CodeMender offers access to generally available Gemini models in Agent Platform or it can be deployed as a core component of AI Threat Defense. Born from Google DeepMind's pioneering AI research, CodeMender transforms vulnerability management from a manual bottleneck into an autonomous, high-speed system. Learn more in this edition of our newsletter ↓ 

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    3,343,859 followers

    Introducing new Gemini models engineered to scale agentic workflows: ✨ 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model, significantly outperforming prior Flash-Lite generations for high-throughput execution ✨ 3.6 Flash: A model that delivers higher quality for complex agentic and multimodal tasks while reducing token usage—at an even lower cost than 3.5 Flash We’re excited to see what you build! Get started today with 3.5 Flash-Lite and 3.6 Flash in Gemini Enterprise → https://goo.gle/4fsR8yy

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  • As AI empowers software engineers to write code 9 to 10 times faster, it simultaneously introduces vulnerabilities at the exact same pace. To stop these bugs before they hit production, Morgan Stanley partnered with Google Cloud Security and Wiz—aligning its strategy with the core principles of the AI Threat Defense framework: Prepare, Scan, Remediate, and Monitor. By replacing fragmented tools with this unified blueprint, Morgan Stanley collapsed its mean time to detect threats by 99.9%, shifting from a reactive 45-minute window to proactive mitigation in 90 seconds or less → https://goo.gle/4vBVoBV

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