Introducing Security Command Center protection for Vertex AI
As developers use Vertex AI, Google Cloud’s end-to-end AI platform that includes intuitive tooling to build the next generation of AI applications, IT teams are called on to bolster cloud infrastructure security. Aligned with the Secure AI Framework (SAIF) we introduced last year, Google want to share approaches…
Unleash your Google Cloud data with ThoughtSpot, Looker, and BigQuery
Today’s businesses have to deliver innovation and operational improvements at high velocity — finding new ways to delight customers while paying close attention to efficient revenue growth. This goal translates to leveraging data and analytics in every part of their value chain, be it within…
Connected Sheets for Looker is now generally available
Modern organizations make decisions and act based on trusted data. But to fully empower their users, it isn’t enough to simply make trusted data available. Organizations need to enable users to access that data through tools they use every day, like the ubiquitous spreadsheet. Today,…
Looker now available from Google Cloud console
Looker helps make it easy to get insights from business data and to build data-driven applications with unified metrics for ease of collaboration. Today, Google are bringing Looker to the Google Cloud console, making it simpler than ever to acquire, deploy, and manage Looker in…
Tips on building a network security policy in Google Cloud
Changing the network security perspective In a data center, network security engineers tend to spend the bulk of their time managing individual devices: creating strong passwords and hardening configurations for networking devices and creating firewall rules for each endpoint. Since nothing is physical in the…
Detecting data deletion and threats to backups with Security Command Center
The threat landscape is rapidly evolving, with data destruction attacks increasingly pervasive and more sophisticated than in years past. Today’s threat actors are constantly identifying new pathways to target data and to limit organizations’ ability to recover from attacks. Backups have long been the solution…
Google Cloud’s approach to trust and transparency in AI
Generative artificial intelligence has emerged as a disruptive technology that presents tremendous potential to revolutionize and transform the way Google do business. It has the power to unlock opportunities for communities, companies, and countries around the world, bringing meaningful change that could improve billions of…
Introducing automated credential discovery to help secure your cloud environment
Storing credentials in plaintext can make your organization less secure. Risks include exposing your credentials to unauthorized users, including threat actors. Improperly secured credentials can also be collected, propagated, and further exposed in various systems, such as logs or inventory systems. Google recommend organizations protect…
Ask your documents: Document AI and PaLM2 for question answering
Documents, physical or digital, contain a goldmine of information—assuming all that data and content can actually be leveraged to help employees to do their jobs. Internal IT and content management teams have long sought to provide knowledge workers with the ability to interact with a…
How to build a gen AI application
Intro As enterprises race towards building and deploying generative AI applications, there are many open questions about how to design the end user experience of these applications to take advantage of this powerful technology, while avoiding its pitfalls. The Cloud AI and Industry Solutions team…
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Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
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