Tag: #sandboxing26 results
OpenAI will pause some work on its Astra AI model after evaluations found it had reached a critical capability threshold in agentic coding and cybersecurity. Astra was reportedly able to identify and exploit vulnerabilities autonomously and execute cyberattacks from high-level goals.
LangChain has opened Managed Deep Agents to public beta, allowing teams to deploy Deep Agents on a managed LangSmith runtime. The service includes durable execution, memory, sandboxes, channels, evaluations, and production-ready infrastructure.
Microsoft has introduced 'Microsoft Execution Containers' (MXC), a customizable and isolated environment designed for running AI agents. The platform supports specialized tools like OpenClaw, enhancing the security and reliability of agentic workflows.
Cloudflare introduces Dynamic Workers, enabling execution of AI-generated code in secure, lightweight isolates. This solution is 100 times faster than traditional containers. It achieves millisecond startup times, ideal for AI agent sandboxing.
Docker Sandboxes introduces isolated micro VMs for running AI agents like OpenClaw with strong security boundaries. It offers developer-friendly isolation and a configurable network proxy to block arbitrary internet connections. This enhances secure workload execution in Docker's ecosystem.
Tencent Cloud is reworking its Agent sandbox to combine sub-100-millisecond startup with production-grade deployment capabilities. The article examines the engineering motivations and infrastructure challenges behind this redesign.
Vercel Sandbox has increased Pro and Enterprise quotas to support up to 10,000 concurrent sandboxes and 5,000 vCPUs per minute. A dynamic quota ramps allocation capacity with sustained usage, eliminating the previous fixed-rate limits.
OpenAI details its secure operation of Codex using sandboxing, approvals, network policies, and agent-native telemetry. These measures ensure safe execution and monitoring of coding agents. The approach supports compliant adoption in production environments.
Docker's Coding Agent Sandboxes (sbx) provide secure microVM-based isolation for AI coding agents like Claude Code, Gemini, Codex, Docker Agent, and Kiro. Agents operate with full autonomy, including their own Docker daemon, network, and filesystem, without impacting the host system. The sbx team uses a fleet of these agents to accelerate shipping.
NanoClaw open-source AI agent platform now integrates with Docker containers via a new partnership. This sandboxing aims to restrain AI agents from running amok. The move is praised as smart for enhanced control.