Optimizing cloud spend is one of the most rewarding aspects of FinOps — and committed use discounts (CUDs) remain one of the most effective levers to pull. In July 2025, we began rolling out updates to the spend-based CUD model to make it easier to understand your costs and savings, expand coverage to new SKUs […]
Simpler billing, clearer savings: A FinOps guide to updated spend-based CUDs Read More »
Introduction In the final quarter of 2025, Google Threat Intelligence Group (GTIG) observed threat actors increasingly integrating artificial intelligence (AI) to accelerate the attack lifecycle, achieving productivity gains in reconnaissance, social engineering, and malware development. This report serves as an update to our November 2025 findings regarding the advances in threat actor usage of AI
In a world where AI is replacing human workers, using up energy and water, and deepening disconnect, is AI for humanitarian good even possible? The answer is yes. In the first part of this two part series, we’re taking a look at just a few AI do-gooders and what they’re doing to fight climate change,
Is anyone using AI for good? Read More »
In the financial sector, resilience isn’t optional. Recent cloud outages have shown us exactly how fast critical data can disappear. The risk is amplified by major regulatory drivers like the Digital Operational Resilience Act (DORA), which mandates that financial institutions are ready for any disruption. The recent designation of Google Cloud as a Critical Third-Party
Build financial resilience with AI-powered tabletop exercises on Google Cloud Read More »
If you are building AI applications, you might experiment with prompts, or even dip your toes into agents. But as you move from prototype to production, you might hit a common wall: the model is just not as consistent as you need it to be. Gemini is an incredibly capable universal foundation model, but you
Mastering Model Adaptation: A Guide to Fine-Tuning on Google Cloud Read More »
Using Generative AI to write code is a well-known task, but relying on it to produce production-ready educational content is a different challenge. When we started using Gemini to assist with our work to expand the breadth of resources available to explain Google Cloud products, we realized we needed something more than just existing, general
7 Technical Takeaways from Using Gemini to Generate Code Samples at Scale Read More »
Today’s reality is agentic – software that can reason, plan, and act on your behalf to execute complex workflows. To meet this moment, we are excited to open the Gemini Enterprise Agent Ready (GEAR) learning program to everyone. As a new specialized pathway within the Google Developer Program, GEAR empowers developers and pros to build
Organizations in highly regulated industries often struggle to balance the rigid security of air-gapped environments with the need for the agility and flexibility that the cloud provides. To address this, Google Distributed Cloud (GDC) air-gapped 1.15 introduces new networking features in preview that give you more direct control and visibility without compromising your security posture,
Google Distributed Cloud brings public-cloud-like networking to air-gapped environments Read More »
Introduction In modern warfare, the front lines are no longer confined to the battlefield; they extend directly into the servers and supply chains of the industry that safeguards the nation. Today, the defense sector faces a relentless barrage of cyber operations conducted by state-sponsored actors and criminal groups alike. In recent years, Google Threat Intelligence
Beyond the Battlefield: Threats to the Defense Industrial Base Read More »
Ryan is joined by Professor Tom Griffiths, the head of Princeton University’s AI Lab, to dive into findings from his new book The Laws of Thought, which explores the history of the philosophy, mathematics, and logic that underlie artificial intelligence, and scientists’ efforts to describe our minds using mathematics.
The logos, ethos, and pathos of your LLMs Read More »
