๐ฅ Top Story
What happens to your indexed data when Mistral flips the switch?
Mistral is giving enterprise customers until August 31 to replace the Google Drive and Microsoft SharePoint Knowledge Connectors they use
๐ Read more ยท The New Stack
Kubernetes & Cloud Native
17,600 Actions: Agent Security Is a Systems Problem
Docker
The OpenAI/Hugging Face incident exposed a new challenge for AI agent security. 17,600 attacker actions show why AI agent security canโt rely on human review.
Coding Agent Horror Stories: The Command You Already Approved
Docker
Learn how AI coding agents can run attacker code through commands you already approved and how Docker Sandboxes limit what an attack can reach.
Cloud Native platform sovereignty through multi-plane architecture
CNCF
When people talk about cloud sovereignty, the conversation often starts with regions: where a workload runs and where its data is stored. But choosing a region is only part of the story.
AI & ML
Strengthening Democratic Oversight in National Security
OpenAI
OpenAI launches an initiative to strengthen democratic oversight of AI in national security, supporting government institutions with tools, training, and expertise.
Partnering with CodeAI to prepare the first AI generation
OpenAI
OpenAI and CodeAI are partnering to help students build AI literacy, think critically about AI, and develop the skills to use and shape it responsibly.
Pacing model development in an era of cyber-critical capabilities
OpenAI
OpenAI is strengthening monitoring, alignment, and security for frontier AI models. See how new safeguards are guiding the pace of model development.
Cloud Updates
How Box is unlocking multimodal enterprise agents with Gemini Embeddings 2
Google Cloud
Enterprise content management is experiencing its biggest architectural shift since the cloud migration era. For years, enterprises have stored trillions of gigabytes of critical data in Box: financial models, clinical trial protocols, M&A due diligence rooms, engineering schematics, and legal compliance playbooks.
Building cost-effective, high-throughput gen AI workflows in Google Dataflow
Google Cloud
Real-time streaming pipelines are the operational backbone of modern enterprises, continuously processing everything from customer support interactions to transaction logs. Traditionally, streaming DAGs are static; once deployed, their processing logic and execution paths are fixed.
Governance on autopilot, minus the turbulence
Google Cloud
Every data team knows the moment. Someone opens a table, sees a column called cust_seg_flg, and has to go ask around to find out what it means, whether it's safe to use, and whether anyone has already answered that question in another dashboard three teams over.
BGP Role model: tracking the adoption of RFC 9234
Cloudflare
RFC 9234 lets routers reject route leaks on their own, using BGP Roles and the Only to Customer attribute. We measured who has deployed it, and found two Tier 1 networks unexpectedly stripping OTC.
Consistency is the new latency: AI at the data layer
AWS Architecture
As AI agents move from chatbots to taking action, their reliability depends on the consistency of the data layer beneath them.
Stop paying for the same prompt: Optimize AI costs with Redis on Red Hat OpenShift
Red Hat
Large language model (LLM) API costs have a way of sneaking up on a business. What begins as a promising chatbot prototype often transforms into an invoice nightmare as users consume tokens at an unpredictable rate.
llm-d: Breaking the cost and capacity barriers
Red Hat
The AI industry is shifting its attention from training models to running models more efficiently. Enterprise AI applications generate millions of inference requests as they coordinate multiple models, tools, and agents.
Evolving your automation (Pt.1): Why itโs worth upgrading to Red Hat Ansible Automation Platform 2.7
Red Hat
The release of Red Hat Ansible Automation Platform 2.7 marks the beginning of a new era for Red Hat automation.
DevOps & Infrastructure
โIf GitHub was stable, these alternatives would not be as interestingโ: Cursor launches Origin as GitHub goes dark
The New Stack
Cursor has officially thrown its hat into the code-hosting ring with Origin, a Git-compatible platform built for a world where
A Claude Code skill was eating 200,000 tokens before answering a single question
The New Stack
A Claude Code skill designed to help developers work with Anthropicโs API was consuming more than 200,000 tokens to load.
Improving infrastructure efficiency for growing demand in the age of AI
Dropbox
As demand for AI continues to grow, so does the infrastructure needed to support it.
๋ณด์ ์ ๋ฌด๋ฅผ ์ํ AI ์์ด์ ํธ ํ๋ซํผ ใSAGEใ ๊ฐ๋ฐ๊ธฐ 1ํธ: ํ๋จ์ ์ฌ๋์๊ฒ ๋จ๊ธฐ๋ ์ค๊ณ
LINE
์๋ ํ์ธ์. ์ฌ๋ด ๋ณด์ ์ ๋ฌด์ AI๋ฅผ ์ ๋ชฉํ๋ ์ผ์ ํ๊ณ ์๋ Security Development Division(LINE Plus Security R&D)ํ์ ๋๋ค.
Benchmarking Secure-and-Functional Remediation and How Snyk Agent Fix Lifts Frontier-Model Fix Rates by over 14%
Snyk
A benchmark of secure, functional vulnerability fixes across JavaScript, Java, and Python shows Snyk Intelligence helps frontier models break past a 72โ75% performance plateau.
ํ ์ค๋ ์ด๋ป๊ฒ ๊ด๊ณ ์์ ๊ฒ์์ ๋ฃ์์๊น
ํ ์ค
ํ ์ค์์ ๊ฒ์ ๊ด๊ณ ๋ฅผ ๋ฐ๊ธฐ ์ํด MRAID ๊ธฐ๋ฐ ํ๋ ์ด์ด๋ธ ๊ด๊ณ SDK๋ฅผ ์ง์ ๋ง๋ ์ด์ผ๊ธฐ๋ฅผ ์๊ฐํด์.
Two ways to measure the cumulative impact of experiments
Datadog
Summing individual wins overstates true impact. See two accurate methods, holdouts and Datadogโs Cumulative Impact, and how to choose between them.
Centralize human and agentic work with Datadog Work Management
Datadog
Learn how Datadog Work Management helps you coordinate human and AI agentโdriven work while preserving context, ownership, and activity across tools.
Trace AWS Lambda durable functions with Datadog
Datadog
Trace AWS Lambda durable executions across invocations to investigate operations, retries, failures, waits, and function status in Datadog.
From OpenTofu to Argo CD: GitLab as your AWS control plane
GitLab
Configuring cloud-based environments is complex, as it requires considering networking, subscriptions, services, and all the components that make up the underlying infrastructure. Manual setup is error-prone, inconsistent, and difficult to reproduce.
Avoid the massive end-to-end tax of default full history clones
GitLab
It's easy to think of git clone as a client-side operation, but the settings of this operation impact the server side and all networks in between.
Critical remote code execution in Serena, a popular MCP coding agent
GitLab
Serena, one of the most widely used AI coding agents, ran attacker-supplied code the moment a developer opened a project. GitLab's Threat Research Group found a critical server-side template injection (GHSA-pp25-4cg4-qcr9, CVE pending) that executes arbitrary code in the Serena process.
โก Quick News
- How Much Memory Does Your Agent Actually Need? โ Hugging Face
- Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers โ Hugging Face
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