Deploying AI Agents: Cisco's DefenseClaw for Production
Cisco has unveiled DefenseClaw, an open-source control layer for agentic AI. The system checks skills, plugins and code before launch, monitors the agent's messages while it runs, writes telemetry to Splunk and automatically revokes access when it detects risk. According to the company, 85% of large customers are already testing AI agents, but only 5% have taken them to production.
AI-processed from ZDNet AI; edited by Hamidun News
Cisco has introduced DefenseClaw for deploying AI agents in production: a control tool that tackles the core problem of having no visibility into what an agent does.
Why don't companies get AI agents into production?
According to Cisco, of the 85% of large companies experimenting with AI agents, only 5% have taken them to production. The main barrier is the lack of a single operational layer for controlling an agent's actions and vetting its tools.
- Nov 1, 2026Local models lose to Opus and Codex: 0.21 on a MacBook versus 1.00 for Codex
- Nov 1, 2026Adobe's EditAgent judge picks a usable edit 81.3% of the time, versus 74.8% for EditScore
- Nov 1, 202616 models tested on 7 search tools: Exa averaged 10.5 out of 14, SearXNG about 3
- Nov 1, 2026Google's StreamVibe video agent beats other models by 10.7% on response timing and quality
Build & Ship Production AI Agents Without Boilerplate Code
Start your free 72-hour trial at Hamidun Academy (academy.hamidun.com) — interactive lessons on Claude Code & Cursor, live Tech Radar, and production agent templates.
The AI world, distilled — once a week
Seven stories that actually mattered, hand-picked. No noise, no reposts, no press releases.
Done! Check your inbox for a confirmation.