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When the person who built a tool tells you how they use it, that’s signal worth paying attention to. Boris Cherny, the Anthropic engineer who created Claude Code, recently revealed that he runs “a few thousand” AI coding agents overnight — and manages them from his phone. That’s not a hypothetical scale. That’s a practitioner using their own tool at the edge of what it can do. The Overnight Agent Workflow In a Business Insider interview, Cherny described his methodology: rather than running single coding tasks sequentially during his workday, he queues up thousands of parallel agent tasks to run overnight. He wakes up to completed work that would have taken days or weeks to do sequentially. ...

Notion just made a very large bet on the agentic future of productivity software. The company launched a full developer platform today that turns its workspace into an orchestration layer for AI agents — and the feature set goes well beyond a simple API. CEO Ivan Zhao summarized the vision in four words: “Any data, any tool, any agent.” That’s an ambitious positioning statement, and the platform announced today backs it up. ...

Building agentic AI security systems from scratch is hard. Building one that a CISO will actually trust for production workloads is harder. Cisco just open-sourced the blueprint to do both — and they’re giving it away for free. What Cisco Just Released On May 12, 2026, Cisco published the Foundry Security Spec under the Apache 2.0 license — a model-agnostic architectural specification for designing, deploying, and evaluating agentic AI security systems at enterprise scale. ...

GitLab just made the most consequential organizational bet in the company’s history. And the stock market’s immediate reaction — down 9.6% after-hours — tells you just how seriously investors are taking it. Announcing Act 2 On May 11, 2026, GitLab CEO Bill Staples published the “Act 2” announcement — a sweeping restructuring of the entire company around a single thesis: AI agents are going to do most of software development, and GitLab must reorganize to lead that transition or be displaced by it. ...

What if 100+ specialized AI agents worked around the clock scanning your operating system for vulnerabilities, communicating findings to each other, and coordinating to prove exploitability — before any attacker ever got there? That’s not a thought experiment anymore. That’s MDASH, and it just patched your Windows machine. What Is MDASH? Microsoft has unveiled MDASH (Multi-Model Agentic Scanning Harness) — an orchestration system of more than 100 specialized AI security agents designed to find vulnerabilities at a scale and depth that human researchers alone cannot reach. ...

Running the world’s most capable self-hosted AI agent platform requires things to actually work. For one particularly rough week in late April 2026, OpenClaw didn’t — and creator Peter Steinberger has now published a candid, detailed account of what went wrong and what’s coming next. The Week That Broke OpenClaw Between April 24 and April 29, 2026, OpenClaw experienced what Steinberger describes as “the worst week in the project’s history.” The problems were cascading and interconnected: ...

Your organization’s identity attack surface just got significantly larger. For every human identity your IAM system manages, there are now 109 machine and AI agent identities operating in the background — and most of them have far more privilege than they need. Palo Alto Networks is betting that solving this problem will define the next decade of enterprise security. The Identity Crisis No One Is Talking About The numbers are striking. According to Palo Alto Networks’ research surveying 2,930 security leaders: ...

A study from EMA Research quantifies the scale of agentic AI adoption — and the security gap that’s widening alongside it. Of 271 IT, security, and identity access management professionals surveyed at medium-to-large enterprises, 98% of organizations with 500 or more employees are currently deploying or actively planning to deploy agentic AI. The deployment momentum is undeniable. The security posture accompanying it is not. The Deployment-Governance Gap The headline adoption number (98%) is striking on its own. The number that defines the moment is 79%: the share of organizations that have deployed or are planning to deploy AI agents without enforceable IAM policies or formal security frameworks for those agents. ...

Anthropic just made its most aggressive move yet into the enterprise legal market. On May 12, 2026, the company officially launched Claude For Legal — a purpose-built AI layer for law firms and legal departments that combines more than 20 Model Context Protocol (MCP) connectors with 12 practice-area-specific plugins available through the Anthropic marketplace. This isn’t just a product announcement. It’s a signal that the legal industry’s agentic AI moment has arrived. ...

On May 12, 2026, Manifold Security expanded its Manifest platform to index and automatically score 7,700+ MCP (Model Context Protocol) servers — every server currently listed in the official MCP Registry, which now tracks over 206,000 total assets. The expansion makes Manifest the most comprehensive automated security scoring system for the MCP ecosystem. The tool is freely accessible at manifest.manifold.security. Why MCP Server Security Matters Now The MCP ecosystem has grown explosively since Anthropic introduced the protocol. It’s now the dominant standard for giving AI agents access to external tools, data sources, APIs, and services. When an agent needs to read a file, query a database, or call an external service, it typically does so through an MCP server. ...