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How Arcade Proactively Addressed The First Major Identity Vulnerability in Agentic AI

While building an AI demo has become trivially easy, production-grade deployments in enterprises have been stifled by performance issues, costs, and security vulnerabilities that their teams have been warning about. Today, we're addressing one of those vulnerabilities head-on. A new class of identity attack Security researchers at The Chinese University of Hong Kong recently identified new variants of COAT (Cross-app OAuth Account Takeover), an identity phishing attack targeting agentic AI a

TUTORIALS

New Year, New Agents to Make You More Productive

Most conversations about AI agents still start the same way: models, prompts, frameworks, followed by an incredible looking demo. Then someone asks, “Okay… when can it ship to production?” That’s where things get a little awkward. The naked truth in the fading demo afterglow is that agents are apps. Which means they need identity, permissions, real integrations, and a way to behave predictably when something goes sideways. Without these components, any agent can dazzle a boardroom, but it won

THOUGHT LEADERSHIP

5 Takeaways from the 2026 State of AI Agents Report

AI agents have moved quickly from experimentation to real-world deployment. Over the past year, organizations have gone from asking whether agents work to figuring out how to deploy enterprise AI agents reliably at scale. The 2026 State of AI Agents Report from the Claude team captures this shift clearly. Drawing on insights from teams building with modern LLM agents—including those powered by models from providers like Anthropic—the report offers a grounded view of how agentic systems are bein

THOUGHT LEADERSHIP

What It’s Actually Like to Use Docker Sandboxes with Claude Code

We spend a lot of time thinking about how to safely give AI agents access to real systems. Some of that is personal curiosity, and some of it comes from the work we do at Arcade building agent infrastructure—especially the parts that tend to break once you move past toy demos. So when Docker released Docker Sandboxes, which let AI coding agents run inside an isolated container instead of directly on your laptop, we wanted to try it for real. Not as a demo, but on an actual codebase, doing the k

THOUGHT LEADERSHIP

Docker Sandboxes Are a Meaningful Step Toward Safer Coding Agents — Here’s What Still Matters

Docker recently announced Docker Sandboxes, a lightweight, containerized environment designed to let coding agents work with your project files without exposing your entire machine. It’s a thoughtful addition to the ecosystem and a clear sign that agent tooling is maturing. Sandboxing helps solve an important problem: agents need room to operate. They install packages, run code, and modify files — and giving them that freedom without exposing your laptop makes everyone sleep a little better. B

THOUGHT LEADERSHIP

Build on the Bubble: Why foundation model instability is the best thing that ever happened to enterprise AI

Right now, somewhere in San Francisco, a foundation model company is losing money serving your API call. OpenAI spent $8.67 billion on inference in the first nine months of 2025—nearly double their revenue for the same period. Sam Altman publicly admitted they lose money on $200-per-month ChatGPT Pro subscriptions. Anthropic burns 70% of every dollar they bring in. These companies are pricing their products below cost, subsidized by the largest concentration of venture capital in technology his

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