Chainguard launches Workspaces, Checks to secure AI coding agents
Chainguard announced three new tools at Assemble London to address security risks from AI coding agents. Workspaces provides isolated microVM environments for developers and agents, preventing credential exposure and unauthorized network access. Checks integrates verification into the agent’s workflow, generating signed attestations for code changes and test results. Expanded Libraries adds…
Key points
- Chainguard’s Workspaces isolate coding agents in microVMs to block credential leaks and unauthorized network access
- Checks integrates verification into agent workflows, producing signed attestations for code and test results in seconds
- Expanded Libraries adds malware scanning and CVE remediation for Go, .NET, JavaScript, and Python dependencies
The company cites a Wakefield Research survey of 1,300 cybersecurity leaders, revealing that 54% of organizations leave high or critical vulnerabilities unpatched, and 76% experienced AI-driven attacks in the past year. Larger firms ($1B+ revenue) were more likely to leave vulnerabilities unpatched (66% vs. 27% for smaller firms). Chainguard’s tools aim to automate security checks and dependency management, reducing manual bottlenecks. Workspaces and Checks launch in beta, while Libraries updates enter Early Access.
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Chainguard Launches Workspaces and Checks to Secure AI Coding Agents
Unite.AI · 14 October 2026
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This text was published by Unite.AI and written by Miles Okada, AI & Cybersecurity, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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