OpenClaw v2026.3.8 dropped three days ago and it’s a release that’s easy to overlook if you’re only scanning headlines — but self-hosters should pay close attention. The headline addition is something the community has been quietly asking for since the early days: built-in backup commands. The Backup CLI: What’s New Before 3.8, backing up your OpenClaw configuration meant manually copying files and hoping you remembered everything. Now, the CLI handles it natively: ...

Zendesk made a bold bet on March 11: it announced a definitive agreement to acquire Forethought, an agentic customer experience company, and simultaneously declared that 2026 would be the year AI agents handle more customer service interactions than humans. That’s not a cautious enterprise vendor hedging its AI roadmap. That’s a structural claim about a market Zendesk has dominated for over a decade. What Forethought Brings Forethought builds AI agents specifically for customer service workflows. Its core differentiation is self-improving agents — systems that learn from resolved tickets, update their own knowledge, and progressively get better at deflecting and resolving issues without human escalation. ...

The security industry has spent years warning about AI-powered threats in abstract terms. Flashpoint’s 2026 Global Threat Intelligence Report drops the abstraction: 47% of cybersecurity professionals now identify agentic AI as their top attack surface — and only 29% have deployed any countermeasures. That gap — 47% concerned, 29% prepared — is the most important number in the report. What the Report Found Flashpoint is a threat intelligence firm with significant data access across the criminal and state-sponsored threat ecosystem. Their annual Global Threat Intelligence Report is one of the more credible annual security surveys, drawing on both proprietary threat data and professional surveys. ...

Imagine you’re building an AI agent that needs to receive confirmation emails, track down responses, manage ongoing correspondence, and act on what it reads — all without human intervention. Right now, you’d hack together something using shared inboxes, forwarding rules, and brittle webhook integrations. AgentMail just raised $6 million to fix that properly. The Problem AgentMail Is Solving Email is the connective tissue of the internet. It’s how services confirm actions, how businesses communicate with customers, how systems notify each other of events. As AI agents take on more autonomous roles — booking appointments, processing applications, managing workflows — they need to participate in email-based workflows too. ...

China’s central government has moved decisively against OpenClaw AI, restricting its use at state-run banks and government agencies — even as thirteen of the country’s biggest technology companies are simultaneously racing to integrate or fork the platform into their own products. The split tells a story about how authoritarian states navigate powerful foreign AI: ban it at the top, absorb it at the bottom. What Beijing Actually Said According to reporting confirmed by Bloomberg, Reuters, and multiple regional outlets, Chinese authorities have instructed state-run enterprises and government agencies to remove OpenClaw AI apps from office computers. The stated rationale is cybersecurity and data-leak risk — the same concern Beijing has raised about prior foreign software platforms, from Windows to Slack. ...

Anthropic has built its brand on safety. Claude is consistently positioned as the thoughtful, cautious model — the one that pushes back on dangerous requests, that thinks about consequences, that errs on the side of care. So the DryRun Security research published today will raise some eyebrows: when used as an agentic coding agent building real applications, Claude produces the highest number of unresolved high-severity security flaws among the leading AI coding agents tested. ...

DryRun Security’s 2026 Agentic Coding Security Report found that Claude, when operating as an autonomous coding agent, produces more unresolved high-severity security flaws than Codex or Gemini. But here’s the thing: all AI coding agents produce security vulnerabilities. The model matters less than your review process. This guide walks you through a practical security audit workflow for AI-generated code, applicable regardless of which model or agent you’re using. Before You Start: Understand the Risk Profile AI-generated code has specific vulnerability patterns that differ from human-written code. Knowing what to look for saves time. ...

JetBrains launched Air into public preview today — and it’s not just another AI-enhanced code editor. It’s a fundamental rethink of what a development environment is when AI agents do the actual coding. The tagline from JetBrains captures the shift cleanly: traditional IDEs add tools to the code editor. Air builds tools around the agent. What Air Actually Is Air is JetBrains’ answer to the question: “What does an IDE look like if the primary user is an AI agent, not a human?” The answer involves several distinct design choices that set it apart from tools like Cursor, GitHub Copilot, or even the JetBrains AI plugin for IntelliJ IDEA. ...

Perplexity just announced something that sounds deceptively simple: an AI agent that lives on your Mac mini, runs 24 hours a day, and has access to your local files and applications. They’re calling it Personal Computer, and they unveiled it at their Ask 2026 developer conference. Waitlists opened immediately. This is more consequential than another AI announcement. Perplexity is making a direct architectural bet against the cloud-first model that dominates agentic AI today. ...

DryRun Security’s 2026 Agentic Coding Security Report landed a finding that should make every engineering team pause: 87% of pull requests written by AI coding agents (Claude, Codex, Gemini) introduced at least one security vulnerability. Not occasionally — consistently, across all three leading models, in real application development scenarios. This isn’t a reason to stop using AI coding agents. The productivity gains are real. But it is a strong signal that AI-generated code needs a security review process as rigorous as — or more rigorous than — what you’d apply to human-written code. ...