What's the largest software project AI can complete on its own?
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The INC Ransomware operation has emerged as the "dominant threat actor" exploiting the recently disclosed security flaws in SonicWall Secure Mobile Access (SMA) 1000 series VPN appliances. In a report published over the weekend, Resecurity said it observed the INC Ransomware accelerating its activity since the beginning of August 2026, listing multiple victims on its data leak site. Per
Last week I had the joy of participating in Amazon’s “Bring Your Kids to Work Day” with my 7 year old son. We commuted together into the New York City office, his first real rush hour train ride, and spent the day exploring how Amazon uses AI, machine learning, and robotics to deliver packages to […]
At $25,305, you won't find many new cars for less. But you get what you pay for.
Last year, I was working on deploying an agentic AI system to help manage cloud infrastructure at scale. The idea was straightforward: give the agent access to AWS APIs, let it observe infrastructure state, and allow it to take remediation actions autonomously. Scale a deployment here, restart a service there, update a configuration when metrics cross a threshold. What I did not fully appreciate at the time was how differently an AI agent fails compared to a traditional automation script. When a
Businesses want to quickly and safely deploy AI agents to drive revenue, mitigate risk, and optimize capital, all without disrupting mission-critical ERP systems. And to power AI agents, you need more than raw data: You need interoperable data products that act as a single, reusable source of truth, turning cryptic source system records into clear business terms. Today, we are announcing the general availability of Google Cloud Cortex Framework version 7. This release modernizes your data archi
To make informed decisions, businesses often need to connect their internal data with public reference data, to create a knowledge graph that connects real-world things and their relationships. However, bridging data from public and private worlds has traditionally been complex. Today, we are streamlining these connections with the general availability of Data Commons on Spanner Graph and the preview of the new Data Commons Platform to unify your private knowledge with knowledge graphs from publ
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