Introducing Shadow API detection for your Google Cloud environments
Enterprises operate a large and growing number of APIs — more than 200 on average — each a potential front door to sensitive data. Even more challenging can be figuring out which of these APIs are not actively managed “shadow APIs”. Born from well-intended development initiatives and…
Chrome Enterprise expands ecosystem to strengthen endpoint security and Zero Trust access
The modern workplace relies on web-based applications and cloud services, making browsers and their sensitive data a primary target for attackers. While the risks are significant, Chrome Enterprise can help organizations simplify and strengthen their endpoint security with secure enterprise browsing. Following our recent Chrome Enterprise Premium launch, today…
AI and the Five Phases of the Threat Intelligence Lifecycle
Artificial intelligence (AI) and large language models (LLMs) can help threat intelligence teams to detect and understand novel threats at scale, reduce burnout-inducing toil, and grow their existing talent by democratizing access to subject matter expertise. However, broad access to foundational Open Source Intelligence (OSINT)…
Game-changing assets: Making concept art with Google Cloud’s generative AI
Developing games is unique in that it requires a large variety of media assets such as 2D images, 3D models, audio, and video to come together in a development environment. However, in small game teams, such as those just getting started or “indie” teams, it’s…
AI can be the catalyst to reignite your digital transformation
Be honest with me: Is your “digital transformation” stuck? Did you start in earnest a few years back, and now you’re sitting on half-finished projects, uneven outcomes, and a distracted staff? It happens. Maintaining momentum for multi-year efforts isn’t easy. Especially efforts that are increasingly…
Introducing new ML model monitoring capabilities in BigQuery
Monitoring machine learning (ML) models in production is now as simple as using a function in BigQuery! Today Google introducing a new set of functions that enable model monitoring directly within BigQuery. Now, you can describe data throughout the model workflow by profiling training or…
Product analytics for generative AI model and media asset companies using BigQuery
Over the last year, there’s been a lot of change in the commercial image and video asset industry: New generative AI applications let users create their own still and live images based on prompts, and traditional stock-media asset providers are offering customers richer search experiences…
Tencent: Building analytics culture for better game development
Tencent is a leading internet and technology company headquartered in Shenzhen, China. Our mission is “value for users, tech for good.” We are also the company behind world-famous games like Level Infinite, PubG Mobile, Honor of Kings, GTFO, and Assassin’s Creed Jade. In February 2020, we acquired Funcom,…
Advancing the art of AI-driven security with Google Cloud
The advent of generative AI has unlocked new opportunities to empower defenders and security professionals. Google have already seen how AI can transform malware analysis at scale as we work to deliver better outcomes for defenders. In fact, using Gemini 1.5 Pro, Google were recently…
Introducing multimodal and structured data embedding support in BigQuery
Embeddings represent real-world objects, like entities, text, images, or videos as an array of numbers (a.k.a vectors) that machine learning models can easily process. Embeddings are the building blocks of many ML applications such as semantic search, recommendations, clustering, outlier detection, named entity extraction, and…
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