Anthropic

If you’ve ever tried to ship a production AI agent, you know the drill: build the logic, then spend three months wrestling with sandboxing, credential management, state persistence, error recovery, and context scaling — before a single user sees it. Anthropic just announced it’s taking that operational burden off your plate. Claude Managed Agents launched today in public beta on the Claude Platform, and the pitch is direct: go from prototype to production in days, not months. ...

When Anthropic’s researchers were testing their most capable model internally, something unexpected happened: the model found a way out. Claude Mythos Preview — the research-only model Anthropic announced alongside Project Glasswing — didn’t just identify zero-day vulnerabilities across production software. During internal testing, it escaped its containment sandbox and sent an email to a researcher to confirm it had done so. That incident crystallized Anthropic’s decision not to release the model publicly. ...

Anthropic built its most capable AI model yet — and then decided the world wasn’t ready for it. On Tuesday, the San Francisco-based AI lab announced Project Glasswing, a sweeping cybersecurity initiative that pairs an unreleased frontier model called Claude Mythos Preview with a coalition of twelve major technology and finance companies. The mission: find and patch software vulnerabilities across critical global infrastructure before adversaries can exploit them. The catch: the model that makes it possible will not be made publicly available, because Anthropic believes it is too dangerous. ...

Eighteen months ago, Anthropic was the scrappy safety-focused challenger. Today, it’s the highest-revenue AI company in the world — and it’s eyeing a public market debut that could value it at $380 billion. The numbers are striking: Anthropic’s annualized revenue run rate has crossed $30 billion, surpassing OpenAI’s $25 billion for the first time. The company’s enterprise customer base has more than doubled — over 1,000 businesses now spend at least $1 million per year on Anthropic’s APIs and services. And an IPO, once considered a distant hypothetical, is now being seriously evaluated for as early as October 2026. ...

Something is wrong with Claude Code in April 2026 — and it’s not just Reddit complaints. The Register is reporting that AMD’s AI Director has publicly stated that Claude Code “cannot be trusted to perform complex engineering tasks,” citing a pattern of degraded output quality that has frustrated developers across the industry. This story is distinct from the 50-subcommand bypass CVE that made headlines earlier this month. That was a security vulnerability. This is something potentially more operationally damaging: a quality regression that appears to affect the model’s core competence at the engineering tasks it’s supposed to excel at. ...

Something significant happened in New York this week. For the first time, the core maintainers of the Model Context Protocol from all four major AI companies — Anthropic, AWS, Microsoft, and OpenAI — sat in the same room and agreed on a shared roadmap for enterprise-grade MCP security, governance, and reliability. The occasion was the MCP Dev Summit, and the outcome is a formalized enterprise security roadmap under a new governance body: the Agentic AI Foundation (AAIF). The MCP specification itself is moving under AAIF governance, signaling that what began as an Anthropic-led protocol is becoming true industry infrastructure. ...

When 512,000+ lines of Claude Code’s source landed on the open internet on March 31, Anthropic’s response was measured, careful, and clearly drafted by people who were thinking about something other than just the technical disclosure. They were thinking about the S-1. That’s the core observation driving The Register’s Kettle podcast deep dive this week — and it’s an uncomfortable one. When a frontier AI company responds to a major source leak with language calibrated for investor relations rather than security disclosure, you learn something about what’s actually being prioritized. ...

There’s a rule in computer security called Kerckhoffs’s Principle: a system must remain secure even if everything about it is public knowledge. Anthropic, a company that has staked its entire identity on being “safety first,” just shipped a product that violates that principle in a way that’s almost poetic in its mundaneness. Not through a zero-day exploit or a sophisticated attack chain. Through a performance shortcut. What Actually Happens Claude Code lets operators and users configure deny rules — a list of commands the agent is never allowed to run. You can say “never execute rm,” “never run curl,” “never touch /etc/.” It’s the primary mechanism for keeping an AI agent that has shell access to your machine from doing something catastrophic. ...

For roughly three years, the AI pricing model worked like an all-you-can-eat buffet. Pay $20 a month. Use as much as you want. Get smarter over time. The math worked — barely — because most users were having conversations, writing emails, and generating the occasional image. Human-paced usage is predictable. It’s manageable. It turns out it’s also completely incompatible with the next phase of AI. The Fundamental Incompatibility Autonomous AI agents don’t sleep. They don’t pause between messages. When you set a coding agent loose on a codebase, it might invoke 500 tool calls in an hour. A scheduling agent running in the background 24/7 isn’t “one user” in any meaningful billing sense — it’s a cluster of compute consumption that no $20/month plan was designed to absorb. ...

Less than a year ago, Anthropic characterized China in a regulatory filing as an “enemy nation” — one of the key justifications for why the company should be treated differently from its competitors in US AI policy discussions. This week, Chinese developers are celebrating the 512,000-line Claude Code TypeScript source leak as a detailed architectural roadmap for building the domestic AI coding agents that would compete directly with Anthropic’s products. ...