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Your code is your business. Your data is your asset. Here is exactly how we keep it safe.
We never train models on your data. Your code, conversations, and business information are never shared, sold, or used for AI training. Period.
Every managed agent runs on a dedicated VPS. No shared databases, no co-tenancy, no cross-customer data leaks. Your agent is your agent.
All files are standard markdown (CLAUDE.md, SKILL.md, memory.md). Export everything at any time. No proprietary formats, no walled gardens.
Built on open-source tools (Next.js, OpenClaw, Paperclip). You can audit the codebase. No black boxes.
Every third-party skill, tool, and MCP server passes a two-gate review before we include it in our ecosystem. Both gates must pass. No exceptions.
To date: 143 skills reviewed and approved. 3 repositories rejected (telemetry, ToS violation, restrictive license).
How we secure the managed AI agents running on your dedicated VPS.
All API keys stored as environment variables. Never committed to code. Rotated on a regular schedule.
Automated hooks run before every action. Pre-commit checks prevent pushing to production. Context health monitoring prevents degradation.
The Auditor agent reviews work quality before knowledge gets promoted. Human-in-the-loop safety — AI cannot silently modify its own rules.
New learnings go through a nomination → review → promotion pipeline. Not every observation becomes a permanent rule. Quality over quantity.
Managed agent VPS servers use SSH key authentication only. No password access. Fail2ban blocks brute force attempts.
Only necessary ports are open. UFW configured by default. All unnecessary services disabled.
Unattended-upgrades enabled on all managed agent servers. Critical patches applied automatically.
All agent actions logged to audit trail. Hooks auto-populate logs. Available for review on request.
Two independent security systems protect your AI agents at runtime — one verifies commands before execution, the other scans for vulnerabilities across the entire system.
Deterministic command firewall — intercepts every shell command before execution. Classifies risk via structural data flow analysis (not AI guessing). Blocks exfiltration, credential leaks, and destructive operations. 195+ known tool patterns, 72 attack signatures.
Automated vulnerability scanning, CVE detection, threat modeling, and input validation. Runs as part of the swarm orchestration layer — every agent action passes through security boundaries.
MCP servers connect your AI to external tools. Here is how we manage the risks.
| Risk | How We Mitigate |
|---|---|
| Malicious MCP servers | All MCP servers in our ecosystem are reviewed. We publish the dual-gate review for every server we recommend. |
| Data leaking to external APIs | MCP servers connect to services you explicitly authorize. No hidden network calls. You control which tools are active. |
| Prompt injection via tools | Hook-based safety checks run before and after tool use. The Auditor agent flags suspicious patterns. |
| API key exposure | Keys stored in environment variables, never in CLAUDE.md or settings.json. OS-level secret storage recommended (macOS Keychain, etc.). |
Found a vulnerability? Please report it responsibly. We take every report seriously and respond within 24 hours.
security@aistarterpackage.com