Stack Internal transforms your daily work into a living memory that’s shared with the rest of your team. Now anyone can create and share their knowledge in a Stack Internal workspace for free by visiting stackinternal.com.
Anyone can start building verified knowledge with Stack Internal Read More »
Written by: Robin Grunewald, Supriya Mazumdar, Kelli Vanderlee Introduction Google Threat Intelligence Group (GTIG) examines vulnerability disclosure and exploitation statistics to evaluate the impact of artificial intelligence (AI) on the vulnerability threat landscape. We found that AI is measurably changing not just the pace of vulnerability discovery and exploitation, but also the types and typical
Vulnerability Discovery and Exploitation Trends in the AI Era Read More »
Today, Google Cloud Data Agent Kit is generally available. Data Agent Kit is a free set of Model Context Protocol (MCP) tools and agent skills that lets the coding agent you already use work directly with your Google Cloud data products, whether you’re using Antigravity, Claude Code, Codex, or other popular tools. With GA, we
Data Agent Kit is now GA: Bring Google Data Cloud to any coding agent Read More »
When scaling up agentic reinforcement learning (RL) and evaluation across massive parallel rollouts, frontier AI labs inevitably hit a bottleneck: Expensive GPU clusters sit idle, waiting minutes for CPU sandbox cold-starts, plus thousands of multi-gigabyte SWE-bench-style image pulls and scheduling backlogs. It’s a sandbox infrastructure problem that silently slows down your research and burns your
As threat actors increasingly use AI to accelerate and develop cyberattacks, enterprise defenders need to rely on both AI and a critical defender’s advantage: Business context that only you possess. Enterprise cyber defense spans identity, network, endpoint, data, cloud, and application layers, often split across a dozen or more products, each with its own context.
Google Cloud partners deliver new security agents and AI defenses with Gemini Enterprise Read More »
Graph engineering is the design work: breaking a task into nodes, connecting them with edges, and deciding where code, models, or people control the next step. The Agent Development Kit (ADK)‘s Workflow turns that design into an executable process, with functions and agents doing the work. Through a refund example, this post shows how to
Graph Workflows in ADK: Everything You Need to Know Read More »
Over the last three decades in cybersecurity, I’ve witnessed major paradigm shifts — yet none match the velocity and complexity of today’s landscape. Attackers are now using AI to move at machine speed: accelerating intrusions, exploiting zero-day vulnerabilities, and rendering legacy defenses obsolete. Reactive, manual security reviews can no longer keep pace with sophisticated and
Defending at machine speed: Securing the public sector in the agentic era Read More »
Your generative AI applications produce different results each time they run. One medical scan shows a single fracture, and another reveals twenty ambiguous regions that require expert review. Static interfaces can’t adapt to this variability. In this post, we show you how to build interfaces that automatically adapt to your AI’s variable outputs. This approach
Build adaptive AI interfaces with the AG-UI protocol, agent swarms, and Nova Act on AWS Read More »
Ryan sits down with Div Garg, CEO at AGI Inc., to talk about running AI agents entirely on mobile devices, optimizing models for edge computing chips, and building safety mechanisms into autonomous app interactions.
Your phone is AI’s newest hardware Read More »
