As enterprise storage footprints scale to billions of objects, AI applications and agentic workloads are fundamentally shifting the role of storage from a passive repository to the foundation of the data platform. This is driven by a surge in unstructured model data and the billions of actions performed on those objects, including session logs and […]
To defend against the growing range of AI-accelerated threat actors, organizations need to be able to respond faster to outpace the adversary. Recently, we announced Google AI Threat Defense, an automated security system designed to help you continuously monitor for and stop AI-powered threats before they can impact your business. Based on Google’s own approach
Detecting and containing AI-powered threats with Google Security Operations agents Read More »
Ryan welcomes Bryan Clark, director of product for Lakebase at Databricks, to discuss what happens when AI agents become the primary creators and users of databases; why agents are “sloppy” about cleaning up infrastructure; and how database branching, scale-to-zero, and centralized access control can help teams keep up with agent-driven development.
In clinical informatics, every second counts. For Alcidion, a global leader in smart health solutions, the mission is simple but critical: use technology to reduce cognitive load for clinicians and present the right information at the right time to save lives. Whether it’s managing patient flow in an emergency department or ensuring a patient is
Written by: Chad Reams, Tufail Ahmed, Keith Knapp, Ashley Frazer, Tyler McLellan Introduction From January through May 2026, Mandiant identified a financially motivated data theft extortion campaign executed by the threat cluster UNC3753 (also tracked as “Luna Moth,” “Chatty Spider,” and “Silent Ransom Group”) targeting dozens of organizations across professional, legal, and financial services in
Seeking Counsel: Ongoing Targeted Campaign Against US Law Firms Read More »
Ryan welcomes back Tanya Janca, now part of the OWASP Top 10 team, to discuss what changed in the latest OWASP Top 10 release, how the list shifted from “outdated components” to a broader software supply chain focus, and why they added memory safety and vibe-coding as awareness items.
At Google Cloud, our goal is to let you run large-scale analytical and data science workloads with maximum efficiency so you can process big data pipelines, machine learning, and ETL tasks. We recently announced that the Dataproc service is now Managed Service for Apache Spark, reflecting our deep integration with the Agentic Data Cloud. To
What’s new for Managed Service for Apache Spark clusters Read More »
While building AI agents locally using Google’s Agent Development Kit (ADK) is an excellent way to prototype, production-ready agents require a robust, scalable infrastructure. For developers looking to move beyond simple instances and into the world of managed container orchestration, Google Kubernetes Engine (GKE) Autopilot offers the perfect balance of flexibility and ease of use.
Scaling AI Agents: A Step-by-Step Guide to Deploying ADK on GKE Autopilot Read More »
What do the organizations that succeed at digital transformation have in common? They align business and technical stakeholders around a shared plan before writing a single line of code. Yet research from McKinsey shows that 70 percent of transformations fail. Stakeholder misalignment and the inability to scale initiatives beyond initial pilots are patterns we see
Align your architecture backlog with Tech Roadmap Prioritization (TRP) Read More »
Whether you use it for data preparation, real-time interactive queries, AI model training, or something entirely different, running Apache Spark at scale is demanding — you shouldn’t have to manage the underlying infrastructure too. Late last year, we announced the general availability (GA) of our serverless Managed Service for Apache Spark runtime version 3.0, prioritizing
What’s new in serverless Managed Service for Apache Spark Read More »
