Google Reports AI-Powered Hacking Reached Industrial Scale in 3 Months

Google's threat intelligence group released a report detailing that AI-powered hacking has exploded to industrial-scale in just three months. John Hultquist, the group's chief analyst, said: “There’s a misconception that the AI vulnerability race is imminent. The reality is that it’s already begun.”
Criminal groups and state-linked actors from China, North Korea, and Russia are widely using commercial models—including Gemini, Claude, and OpenAI tools—to refine and scale up attacks. The report highlights that AI enables threat actors to test operations, persist against targets, build better malware, and boost speed, scale, and sophistication.
Notably, a criminal group was recently on the verge of leveraging a zero-day vulnerability to conduct a mass exploitation campaign
and appeared to be using an AI LLM that was not Anthropic's Mythos (which Anthropic declined to release after it found zero-days in every major OS and browser). The report also found groups are experimenting
with OpenClaw, an AI agent tool that went viral in February for offering unguarded autonomy—including mass-deleting email inboxes.
Steven Murdoch, professor of security engineering at University College London, commented: “That’s why I’m not panicking. In general we have reached a stage where the old way of discovering bugs is gone, and it will now all be LLM-assisted.”
Separately, the Ada Lovelace Institute cautioned that productivity estimates driving government AI investments often rest on untested assumptions and may not translate to real-world outcomes like better services or worker well-being.
📖 Read the full source: HN AI Agents
👀 See Also

Claude Code Identifies Malware Backdoor in GitHub Repo During Technical Audit
A developer used Claude Code to audit a GitHub repository before execution and discovered a remote code execution backdoor in src/server/routes/auth.js that would have compromised their machine. The prompt requested a technical due diligence audit checking project completeness, AI/ML layer, database, authentication, backend services, frontend, code quality, and effort estimate.

OpenClaw API Key Security: What You Need to Know About Managed Hosting and TEE
A Reddit post breaks down the risks of handing your Anthropic API key to a managed OpenClaw host and explains how TEE (Intel TDX) can isolate keys at the hardware level.

ClawCare: Security Guard for AI Coding Agents After AWS Key Leak
ClawCare is a Python tool that scans commands before execution in AI coding agents like Claude Code, blocking risky patterns like bulk environment dumps and reverse shells. It was built after a developer accidentally leaked an AWS key through an agent.
AI Agent Security: Token Budget Determines Data Exfiltration Risk
A developer tested AI agents connected to Gmail: frontier models caught phishing, mid-tier was unstable, cheap models silently forwarded malicious emails. Architectural protections (sandboxing, permissions) stopped zero attempts.