Silo
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Hardware-Enforced
Agent Isolation.
Backed by Apple Silicon.

Deploy, contain and govern autonomous
AI agents inside secure Silo runtimes.

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Why We Are Building It

AI deployment is outpacing control. AI agents are entering production with direct access to internal systems and data. Without structural isolation and full telemetry, they introduce serious security and compliance risk.

CLI agents illustration
Apple logo

macOS: In Active Development

Linux logo

Linux: In Active Development

Windows logo

Windows: Coming Soon

What We Are Building

A Dedicated Control Layer for AI Agents. Silo acts as the intermediary, enforcing policy and managing secrets before any action reaches your internal systems.

How Silo Enforces Control

mcp.log - Silo Runtime 
AGENT RUNTIME
────────────────────────────────
POST https://api.stripe.com/v1/customers

  "headers": 
    "Authorization": "Bearer {{STRIPE_API_KEY_PLACEHOLDER}}"
  ,
  "body":  "user_id": "12345" 

════════════ BOUNDARY ════════════
SILO EVALUATION
✓ Policy: PASS
✓ Secret Injection: APPROVED
════════════ BOUNDARY ════════════
EXTERNAL REQUEST
────────────────────────────────
POST https://api.stripe.com/v1/customers

  "headers": 
    "Authorization": "Bearer sk_live_51K..."

Secrets Never Enter the Runtime.

Credentials are injected only after policy approval and remain outside the execution boundary. The agent operates with placeholders, while real secrets are applied at the final decision point with no persistence in the runtime.

Enforcement happens at the lowest layer.

Real-Time Syscall Interception. Every action is intercepted at the kernel before it executes. Network connections, file access and process spawns are evaluated against live policy, preventing unauthorised behaviour at the operating system layer.

silo-policies.rego — OPA 
package silo.policies
// Network access control
allow_network 
    input.action == "connect"
    input.domain in data.approved_domains

// File system restrictions
deny 
    input.syscall == "open"
    input.path matches "/etc/.*"

// Secret injection policy
allow_secret 
    input.scope == "github"
    input.agent in data.github_agents
Open Policy Agent logo

Compatible with Open Policy Agent (OPA). Define granular allow and deny rules in Open Policy Agent. Policies are evaluated at decision time with live context.

Git logo

Governance: Managed in Git and applied fleet-wide instantly.

Know what ran, when it ran, and why.

Audit Logs for Full Visibility

History icon

Complete execution history

Outcomes icon

Decision outcomes

Secret icon

Secret approvals

Network icon

Network activity

Lifecycle icon

Runtime lifecycle

Mulitple output formats, such as JSON: Ready for ingestion.

silo.audit.log - Telemetry 
[2026-02-20 14:31:45] RUNTIME_INIT runtime_id=silo-1x2y agent=deployment-helper
[2026-02-20 14:31:45] POLICY_CHECK decision=ALLOW domain=api.slack.com latency_ms=1.3
[2026-02-20 14:31:45] SECRET_INJECTION secret=SLACK_WEBHOOK scope=notification approved=true
[2026-02-20 14:31:45] NETWORK_CALL method=POST url=https://hooks.slack.com/services
[2026-02-20 14:31:46] EXECUTION_COMPLETE status=success duration_ms=867
[2026-02-20 14:31:46] RUNTIME_TEARDOWN runtime_id=silo-1x2y state_cleared=true 
[2026-02-20 14:32:01] RUNTIME_INIT runtime_id=silo-7ac3 agent=data-analyst
[2026-02-20 14:32:01] POLICY_CHECK decision=ALLOW domain=github.com latency_ms=1.2
[2026-02-20 14:32:01] SECRET_INJECTION secret=GITHUB_TOKEN scope=github approved=true
[2026-02-20 14:32:02] NETWORK_CALL method=GET url=https://api.github.com/repos
[2026-02-20 14:32:02] EXECUTION_COMPLETE status=success duration_ms=1421
[2026-02-20 14:32:02] RUNTIME_TEARDOWN runtime_id=silo-7ac3 state_cleared=true

Enterprise Use Cases

Internal Automation

Execute workflows without exposing broad credentials.

Automation

AI Coding Assistants

Scope access to approved repositories only.

AI Coding

Financial Workflows

Enforce approval chains for payment agents.

Finance

DevOps Operations

Contain CI/CD to defined clusters and namespaces.

DevOps

Sensitive Data Access

Audit every PII query with pre-egress policy checks.

Governance

Prepare Your AI Infrastructure

Do not let runtime risk slow AI adoption, deploy agents within enforceable boundaries backed by hardware isolation and continuous policy oversight.

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