Watch it, then try it
The AI-FW launch video, plus the screenshots and diagrams you need for an internal review, and where to find the source and releases.
AI-FW launch: the AI firewall and governance gateway
A walkthrough of AI-FW, the AI firewall and governance gateway: agent identity, prompt and response inspection, semantic policy, model routing, cost controls and metadata-only audit, running inside your own environment.
What the video covers
A walkthrough of the gateway and the problem it solves, in the order a security review tends to ask about them.
- Why AI traffic needs its own control point: prompts leave your network, agents act autonomously, and responses can carry data out.
- The four jobs: identify the caller, authorize the request, inspect both directions, and govern by policy.
- Agent identity in practice, including certificate-based authentication and self-enrolment.
- What inspection covers: jailbreak and injection attempts, personal data, toxicity, exfiltration, and your own rules and semantic policy.
- Routing and cost control: one API in front of many providers, per-model keys held server-side, caching and compression that cannot bypass inspection.
- Audit without retention: metadata-only records, export to your SIEM, and dashboards.
- How to get started, including the free Community Edition and its published token allowance.
Assets for your review
Use these in internal assessments and briefings. Keep the naming consistent: AI-FW, by Securetron.net.
Source and releases
The knowledge base is public, so you can read the documentation and release notes without an account.
Machine-readable index for AI assistants: llms.txt and llms-full.txt.
Press and analyst enquiries
Briefings, screenshots at higher resolution, and comment on AI governance topics.