Tag: agents

  • Cloud Blog: Back to AI school: New Google Cloud training to future-proof your AI skills

    Source URL: https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-training-to-future-proof-ai-skills/ Source: Cloud Blog Title: Back to AI school: New Google Cloud training to future-proof your AI skills Feedly Summary: Getting ahead — and staying ahead — of the demand for AI skills isn’t just key for those looking for a new role. Research shows proving your skills through credentials drives promotion, salary…

  • Cloud Blog: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/agent-factory-recap-deep-dive-into-gemini-cli-with-taylor-mullen/ Source: Cloud Blog Title: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen Feedly Summary: In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared…

  • Slashdot: Microsoft is Filling Teams With AI Agents

    Source URL: https://slashdot.org/story/25/09/19/0157250/microsoft-is-filling-teams-with-ai-agents?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft is Filling Teams With AI Agents Feedly Summary: AI Summary and Description: Yes Summary: Microsoft is integrating new AI agents into Teams, enhancing collaboration with capabilities such as agenda creation, note-taking, and real-time meeting management. This development has significant implications for security, compliance, and operational efficiency in hybrid…

  • Cloud Blog: Achieve agentic productivity with Vertex AI Agent Builder

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/get-started-with-vertex-ai-agent-builder/ Source: Cloud Blog Title: Achieve agentic productivity with Vertex AI Agent Builder Feedly Summary: Enterprises need to move from experimenting with AI agents to achieving real productivity, but many struggle to scale their agents from prototypes to secure, production-ready systems.  The question is no longer if agents deliver value, but how to…

  • Cloud Blog: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions

    Source URL: https://cloud.google.com/blog/topics/financial-services/assembling-a-team-of-ai-agents-to-handle-complex-mortgage-questions-at-mr-cooper/ Source: Cloud Blog Title: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions Feedly Summary: In today’s world where instant responses and seamless experiences are the norm, industries like mortgage servicing face tough challenges. When navigating a maze of regulations, piles of financial documents, and the high…

  • Docker: Build and Distribute AI Agents and Workflows with cagent

    Source URL: https://www.docker.com/blog/cagent-build-and-distribute-ai-agents-and-workflows/ Source: Docker Title: Build and Distribute AI Agents and Workflows with cagent Feedly Summary: cagent is a new open-source project from Docker that makes it simple to build, run, and share AI agents, without writing a single line of code. Instead of writing code and wrangling Python versions and dependencies when creating…

  • Cloud Blog: How Google Cloud’s AI tech stack powers today’s startups

    Source URL: https://cloud.google.com/blog/topics/startups/differentiated-ai-tech-stack-drives-startup-innovation-google-builders-forum/ Source: Cloud Blog Title: How Google Cloud’s AI tech stack powers today’s startups Feedly Summary: AI has accelerated startup innovation more than any technology since perhaps the internet itself, and we’ve been fortunate to have a front row seat to much of this innovation here at Google Cloud. Nine of the top…

  • Schneier on Security: Time-of-Check Time-of-Use Attacks Against LLMs

    Source URL: https://www.schneier.com/blog/archives/2025/09/time-of-check-time-of-use-attacks-against-llms.html Source: Schneier on Security Title: Time-of-Check Time-of-Use Attacks Against LLMs Feedly Summary: This is a nice piece of research: “Mind the Gap: Time-of-Check to Time-of-Use Vulnerabilities in LLM-Enabled Agents“.: Abstract: Large Language Model (LLM)-enabled agents are rapidly emerging across a wide range of applications, but their deployment introduces vulnerabilities with security implications.…