Tag: Ai and machine learning
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AI security certification cost: Fees, training and exam expenses
Posted on November 9, 2026, Level beginner Resource Length short
For engineers and security analysts, the sticker price of an AI security certification is only the beginning. Understanding the operational trade-offs between training formats, lab access, and renewal requirements is critical for budgeting and career planning. By sisa.ai.
Tags security-and-privacy ai-and-machine-learning leadership-and-career
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The browser is now an AI runtime: Security risks in Chrome's on-device models
Posted on November 8, 2026, Level intermediate Resource Length long
Google's integration of Gemini Nano into Chrome creates an unmonitored AI runtime accessible to any website, introducing prompt injection and parasitic compute risks that bypass traditional cloud security controls. By Kirill Gelfand , Vladimir Kropotov , Fyodor Yarochkin , David Tulis.
Tags security-and-privacy ai-and-machine-learning architecture-and-apis devops-and-ci-cd
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ThisBash Escape: Claude Dispatch flaw enables browser extensions RCE on the OS
Posted on November 6, 2026, Level beginner Resource Length medium
A flaw in Claude Dispatch revealed how authenticated web sessions can drive local OS agents, turning low-privilege browser access into high-privilege code execution. By Gal Weizman.
Tags security-and-privacy architecture-and-apis ai-and-machine-learning software-engineering
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Agentic development on Android: What engineering leaders should decide next
Posted on November 4, 2026, Level beginner Resource Length medium
Google's Android Dev Summit announcements signal a shift toward agent-assisted mobile development. For engineering leaders, the real question is not whether to adopt agentic tooling but how to govern it while teams retain ownership of code, testing, and risk. By Nacho Carrión.
Tags ai-and-machine-learning architecture-and-apis backend-development software-engineering
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Enterprise AI adoption: Investment, deployment, ROI & business impact
Posted on November 1, 2026, Level beginner Resource Length long
Deloitte's 2026 State of AI in the Enterprise report charts rising AI spend against modest revenue returns, but its central insight is the persistent gap between experimentation and production deployment. By Jim Rowan and Peter Sonner.
Tags ai-and-machine-learning business-and-emerging-tech software-engineering
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Everyone's adopting AI agents. Almost no one can prove the ROI. Here's why
Posted on October 30, 2026, Level beginner Resource Length medium
Organizations are deploying AI agents faster than they can demonstrate value, and the gap between adoption and measurable return stems from a disconnect between buyers and users plus a lack of business context. By Databricks Staff.
Tags ai-and-machine-learning software-engineering architecture-and-apis
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AI bubble risks: Circular financing, hidden debt, and market exposure
Posted on October 26, 2026, Level beginner Resource Length short
A new report from Open Markets Institute and Americans for Financial Reform warns that AI's trillion-dollar spending spree is propped up by circular financing, opaque debt, and accounting gimmicks, and that a crash could ripple into a broader financial crisis. By ourfinancialsecurity.org.
Tags ai-and-machine-learning business-and-emerging-tech software-engineering security-and-privacy miscellaneous
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The unified dependency graph: Stop agentic AI from outrunning its own architecture
Posted on October 20, 2026, Level intermediate Resource Length long
Data platforms treat infrastructure and derived decisions as separate worlds. A unified dependency graph joins them so agentic systems can trace outputs back to raw inputs without losing the thread across transformations. By Animesh Kumar.
Tags ai-and-machine-learning architecture-and-apis backend-development cloud-and-infrastructure devops-and-ci-cd
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AI is becoming a software buyer without a procurement process
Posted on October 18, 2026, Level beginner Resource Length medium
A pre-registered study of 1,920 trials found coding assistants checked provenance in only 0.5% of cases and never ran verification commands, revealing a gap between available supply-chain evidence and automated dependency selection. By Cybersecurity Insiders.
Tags software security-and-privacy ai-and-machine-learning
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Intel accelerates open infrastructure for the agentic AI era
Posted on October 12, 2026, Level beginner Resource Length medium
At the Open Compute Project Global Summit, Intel unveiled new Xeon rack designs and the GPU D-series, formerly Crescent Island, positioning open, heterogeneous infrastructure as the foundation for scaling agentic AI workloads. By intc.com.
Tags cloud-and-infrastructure ai-and-machine-learning software-engineering
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AI Agent sandbox on Kubernetes: Run LLM-written code in gVisor jobs with no network and no credentials
Posted on October 4, 2026, Level advanced Resource Length short
Running model-generated code requires strict isolation. This analysis explores how Kubernetes namespaces, gVisor, and admission policies create a secure boundary for untrusted scripts. By DevToCash Team.
Tags architecture-and-apis security-and-privacy cloud-and-infrastructure ai-and-machine-learning
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A coding agent on every desk: Running Qwen on Bazzite
Posted on September 29, 2026, Level intermediate Resource Length medium
Author demonstrates how a self-hosted stack using Qwen3-Coder-Next, llama.cpp, and Tailscale offers a viable, cost-controlled alternative to cloud-based coding agents. By Brad Westness.
Tags ai-and-machine-learning cloud-and-infrastructure software-engineering