Tag: emerging

  • Cloud Blog: Partnering with Google Cloud MSSPs: Solving security challenges with expertise & speed

    Source URL: https://cloud.google.com/blog/products/identity-security/solving-security-ops-challenges-with-expertise-speed-partner-with-google-cloud-secops-mssps/ Source: Cloud Blog Title: Partnering with Google Cloud MSSPs: Solving security challenges with expertise & speed Feedly Summary: Organizations today face immense pressure to secure their digital assets against increasingly sophisticated threats — without overwhelming their teams or budgets.  Using managed security service providers (MSSPs) to implement and optimize new technology, and…

  • 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.…

  • Slashdot: OpenAI Says Models Programmed To Make Stuff Up Instead of Admitting Ignorance

    Source URL: https://slashdot.org/story/25/09/17/1724241/openai-says-models-programmed-to-make-stuff-up-instead-of-admitting-ignorance?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Says Models Programmed To Make Stuff Up Instead of Admitting Ignorance Feedly Summary: AI Summary and Description: Yes Summary: The text discusses OpenAI’s acknowledgment of the issue of “hallucinations” in AI models, specifically how these models frequently yield false outputs due to a training bias that rewards generating…

  • Cloud Blog: GKE network interface at 10: From core connectivity to the AI backbone

    Source URL: https://cloud.google.com/blog/products/networking/gke-network-interface-from-kubenet-to-ebpfcilium-to-dranet/ Source: Cloud Blog Title: GKE network interface at 10: From core connectivity to the AI backbone Feedly Summary: It’s hard to believe it’s been over 10 years since Kubernetes first set sail, fundamentally changing how we build, deploy, and manage applications. Google Cloud was at the forefront of the Kubernetes revolution with…

  • Slashdot: Anthropic Refuses Federal Agencies From Using Claude for Surveillance Tasks

    Source URL: https://news.slashdot.org/story/25/09/17/145230/anthropic-refuses-federal-agencies-from-using-claude-for-surveillance-tasks?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Anthropic Refuses Federal Agencies From Using Claude for Surveillance Tasks Feedly Summary: AI Summary and Description: Yes Summary: Anthropic’s decision to prohibit the use of its Claude AI models for surveillance by federal law enforcement reflects a significant stance on ethical considerations in AI use. This policy highlights the…

  • The Register: Microsoft pens $15B love letter to the UK with 23,000 Nvidia GPUs attached

    Source URL: https://www.theregister.com/2025/09/17/microsoft_uk_ai_cash/ Source: The Register Title: Microsoft pens $15B love letter to the UK with 23,000 Nvidia GPUs attached Feedly Summary: Redmond woos Blighty with cloud and AI infrastructure splurge as Trump comes to town Microsoft appears to have trumped Google’s UK datacenter ambitions with a $15 billion investment in cloud and AI infrastructure…

  • New York Times – Artificial Intelligence : What Exactly Are A.I. Companies Trying to Build? Here’s a Guide.

    Source URL: https://www.nytimes.com/2025/09/16/technology/what-exactly-are-ai-companies-trying-to-build-heres-a-guide.html Source: New York Times – Artificial Intelligence Title: What Exactly Are A.I. Companies Trying to Build? Here’s a Guide. Feedly Summary: Amazon, Microsoft, Google, Meta and OpenAI plan to spend at least $325 billion by the end of the year in pursuit of A.I. We explain why they’re doing it. AI Summary…