Operations | Monitoring | ITSM | DevOps | Cloud

CriblCon 26 Keynote highlights: Cribl StreamAI, App Framework, Marketplace, and Detect

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.

When AI Attacks at Machine Speed, Configuration Management Becomes Cybersecurity

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.

AI Coding Assistants: Trust Is the Attack Surface

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.

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

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.

How to Turn Off GitKraken AI (GitKraken Desktop and Organization-Wide)

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.

Connect Bitbucket Cloud to your AI tools with Atlassian MCP

Developers use Bitbucket Cloud every day to turn plans into working software. Code lives in repositories, feedback happens in pull requests, and Bitbucket Pipelines helps teams validate changes before they move forward. For an AI assistant to help with this work, it needs access to the same information. Without a direct connection, developers have to gather pull request details, pipeline results, logs, and links before the assistant can help.