AI Agent Sandboxing
AI agents that can execute code, browse the web, or invoke tools need hard boundaries. We design sandboxed execution environments using container isolation, network policy enforcement, and MCP tool authorization so your agents can operate autonomously without risking data exfiltration, privilege escalation, or uncontrolled side effects. Every sandbox ships with kill switches, resource limits, and full telemetry.
Key Capabilities
- Container-level isolation with gVisor or Firecracker microVMs
- Network policy enforcement — zero egress by default
- MCP tool authorization and per-agent permission scopes
- File system sandboxing with read-only mounts and ephemeral scratch
- Resource quotas (CPU, memory, execution time) per agent session
- Kill switch and circuit breaker patterns for runaway agents
Typical Engagement
Typical engagement: 3–5 week implementation sprint. We pair with your platform team to define agent trust boundaries, deploy sandbox infrastructure, and validate with adversarial testing.
Ready to get started?
Tell us about your infrastructure and security requirements. We will scope an engagement that fits.
Contact Us