Cloud Computing

The emergence of the agentic web — an internet where autonomous AI agents can independently execute complex, multi-step tasks and transactions that previously required human interaction — promises a fundamental shift for how customers and businesses interact. While agents can help deliver a frictionless customer experience, they can also enable new abuse and fraud vectors.  […]

Written by: Bhavesh Dhake, Will Silverstone, Matthew Hitchcock, Aaron Fletcher The Criticality of Privileged Access in Today’s Threat Landscape Privileged access stands as the most critical pathway for adversaries seeking to compromise sensitive systems and data. Its protection is not only a best practice, it is a fundamental imperative for organizational resilience. The increasing complexity

As AI technology advances at a rapid pace, I am pleased to announce a new set of investments in our partner ecosystem at today’s Partner Connect at the Google Public Sector Summit. Our new initiatives will deepen our collaboration and empower our partners to capitalize on the incredible momentum in AI. We are focused on

Ryan welcomes Tom Moor, head of engineering at Linear, to discuss AI agents’ mixed results for productivity in the development lifecycle, the importance of context for maximizing agents’ effectiveness, and the role that junior developers need to take in a world increasingly driven by AI.

Building and scaling generative AI models demands enormous resources, but this process can get tedious. Developers wrestle with managing job queues, provisioning clusters, and resolving dependencies just to ensure consistent results. This infrastructure overhead, along with the difficulty of discovering the optimal training recipe and navigating the endless maze of hyperparameter and model architecture choices,

AI agents can chat, use tools, and write new code all from one interface. That’s why they’ll last.