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cloudzero

How CFOs can control AI spend and prove AI's value

Oct 16, 2026 By David Aponovich In CloudZero
Neil Sawyer, Senior Vice President and Managing Director for HP Europe, Middle East and Africa, recently published “Scaling AI Without Losing Control” in Forbes Business Council. His starting point will be familiar to any finance leader. AI pilots looked affordable on pay-per-token and pay-per-query pricing, and that same pricing can get far more expensive at enterprise scale. Gartner forecasts worldwide AI spending will reach $2.7 trillion in 2026, up 49.5%.
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cloudzero

AI infrastructure costs in 2026: what the stack is, what each layer costs, and how much to commit

Oct 16, 2026 By Lyne Carolyne In CloudZero
AI infrastructure costs span four buying tiers in 2026: API-only teams spend hundreds to tens of thousands per month on tokens, GPU renters typically pay $2 to $10 per GPU-hour by chip class, committed-capacity buyers sign six-to-eight-figure reservation contracts, and owners spend millions per rack. The stack has six layers, and most budgets underestimate everything below the GPU line.
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CriblCon 26 Keynote highlights: Cribl StreamAI, App Framework, Marketplace, and Detect

Oct 16, 2026 By Cribl In Cribl
This CriblCon 26 keynote highlight reel introduces Cribl’s AI platform for telemetry and highlights Cribl StreamAI, the Cribl App Framework, Cribl Marketplace, and Cribl Detect. It is relevant to IT, security, and observability teams exploring intelligent model routing, agentic app development, marketplace deployment, and security investigations using telemetry and context. The keynote also covers the SEC IT benchmark, the cost of investigating incidents with different AI models, and included inference for Cribl-native workloads.
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puppet

When AI Attacks at Machine Speed, Configuration Management Becomes Cybersecurity

Oct 16, 2026 By Puppet In Puppet
The Australian Medicare AI agent incident highlights a broader shift in cybersecurity. AI does not need to create new vulnerabilities to increase risk. Its ability to continuously discover, test, and pursue existing weaknesses places greater emphasis on maintaining secure configurations over time, not just fixing issues once. Security teams are used to the idea that determined attackers will keep looking for a way in.
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harness

AI Coding Assistants: Trust Is the Attack Surface

Oct 16, 2026 By Soujanya Namburi In Harness
Explore how AI coding agents can be exploited through trusted files, hooks, and MCP tools, and learn how to secure agent workflows against hidden instructions and persistent threats. Why the most dangerous instructions aren't the ones you type into the chat box For the past decade, autocomplete guessed your next line. It was helpful, annoying, or flat-out wrong, depending on the day.
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logz.io

Best AI Observability Tools of 2026: Monitoring the AI You Build and the AI That Runs Your Ops

Oct 15, 2026 By Kevin Klein In logz.io
TL;DR “AI observability” now describes two different jobs. One is watching the LLM apps and AI agents your team ships: prompts, tool calls, token spend, and output quality. The other is putting AI agents to work on your production telemetry so incidents are already being investigated by the time an engineer logs in. Most engineering orgs in 2026 need both, and very few tools cover the two well.
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Komodor

Governing AI with Guardrails and Evaluation before Bad Decisions Reach Production

Oct 15, 2026 By Komodor In Komodor
In July 2025, nine days into a public build experiment, Replit’s coding agent deleted a user’s production database. The user had declared a code freeze and told the agent not to make changes without his approval. The agent ran destructive commands anyway, wiping records on more than 1,200 executives and over a thousand companies, and then wrongly reported that the data couldn’t be rolled back. The instruction was clear, and the agent had it in context.
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cloudzero

Best open-source LLMs in 2026: ranked by cost to run

Oct 15, 2026 By Lyne Carolyne In CloudZero
The best open source LLMs by family: DeepSeek V4 for frontier reasoning under MIT, Qwen3.8 and Gemma 4 for clean Apache 2.0 licensing, GLM-5.3 for coding, Kimi K3 for long context, Llama 4 for single-GPU scale. The real ranking depends on your deployment lane and token volume, and this guide prices all three lanes. At CloudZero, Bill Buckley, our SVP of Engineering, gives every engineer a $5,000 monthly AI token budget and published the math behind it.
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How to Turn Off GitKraken AI (GitKraken Desktop and Organization-Wide)

Oct 15, 2026 By GitKraken In GitKraken
Let's talk about 2 ways to turn off GitKraken AI: for your own account in GitKraken Desktop, and for everyone in your organization from gitkraken.dev. Turn off GitKraken AI for your account (GitKraken Desktop) Turn off GitKraken AI for your organization (admins and owners) Optional: limit AI providers On the same Security controls page, under Enforce AI providers, turn off any provider you don't want your organization to use.
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