Fortress vs Proxon (2026)
A side-by-side comparison of Fortress and Proxon on pricing, features, and fit, so you can decide which is right for you.
Quick answer
Fortress and Proxon are both strong choices, but they fit different needs. Choose Fortress if you mainly need testing ai agent workflows in a safe, isolated environment before production deployment — its edge is completely free and open-source with no licensing costs. Choose Proxon if you need auditing all ai applications in use across a large enterprise to identify shadow it risks — its edge is provides comprehensive visibility into both approved and unauthorized ai tool usage. Fortress starts at Free; Proxon starts at On request.
Features compared
- Sandboxed code execution environment to isolate AI agent runtime from the host system
- Integrated browser environment for agent-driven web interaction and automation
- Open-source codebase allowing full customization and self-hosting
- Designed specifically for safe deployment of autonomous AI agents
- Automated discovery and inventory of all AI tools across an organization, including shadow AI
- Ownership assignment and policy binding per AI system
- Real-time spend tracking and budget attribution for each AI tool
- Centralized compliance and governance dashboard for IT and security teams
Pros & cons
- Completely free and open-source with no licensing costs
- Purpose-built for AI agent safety rather than a generic sandbox
- Combines code execution and browser automation in one tool
- Early-stage project with limited community documentation compared to mature alternatives
- Requires self-hosting and technical setup, which may not suit non-developer users
- Provides comprehensive visibility into both approved and unauthorized AI tool usage
- Directly links AI tools to owners, policies, and costs for clear accountability
- Designed specifically for enterprise security and IT governance workflows
- Pricing is not publicly available, making it difficult to budget without a sales conversation
- May require significant onboarding effort to fully integrate with existing IT infrastructure
The verdict
Choose Fortress if
you mainly need to testing ai agent workflows in a safe, isolated environment before production deployment. Its edge: completely free and open-source with no licensing costs.
Choose Proxon if
you mainly need to auditing all ai applications in use across a large enterprise to identify shadow it risks. Its edge: provides comprehensive visibility into both approved and unauthorized ai tool usage.
Frequently asked questions
Is Fortress better than Proxon?
Neither is universally better. Fortress is stronger for testing ai agent workflows in a safe, isolated environment before production deployment, with an edge in completely free and open-source with no licensing costs. Proxon is stronger for auditing all ai applications in use across a large enterprise to identify shadow it risks, with an edge in provides comprehensive visibility into both approved and unauthorized ai tool usage. Pick based on your main task.
Which is cheaper, Fortress or Proxon?
Fortress starts at Free and Proxon starts at On request. Free tier: Fortress — Fully free and open-source; Proxon — No public free tier.
What is Fortress best for?
Fortress is best for testing ai agent workflows in a safe, isolated environment before production deployment, building autonomous browser automation pipelines with built-in security boundaries, developing and debugging llm-powered agents without risking host system integrity.
What is Proxon best for?
Proxon is best for auditing all ai applications in use across a large enterprise to identify shadow it risks, enforcing ai usage policies and mapping each tool to a responsible owner, tracking and controlling ai-related software spend across business units.
Do Fortress and Proxon have free plans?
Fortress: Fully free and open-source. Proxon: No public free tier. Check each tool's pricing page for current limits, as plans change.