Authensor makes AI actions governable so teams can approve what matters, block what's risky, and audit everything.
Reliability and accountability are the foundation, not afterthoughts.
Every decision should be traceable. Full audit trails are mandatory.
AI should augment human decision-making, not replace it entirely.
One clean call before any irreversible action. Good governance should be easy.
You can read every line of code. You can self-host everything. You own your data.
Started building Authensor after seeing autonomous agents make irreversible mistakes in production.
Launched SafeClaw for local agent gating with browser dashboard and approval workflows.
Released Aegis content scanner (57 detection rules, zero dependencies) and the policy engine.
Shipped control plane with hash-chained receipts, multi-party approval, MCP Gateway, RedTeam harness, and framework adapters. Open-sourced everything under MIT.
Founder
I graduated a year early from the University of Minnesota, then worked in shipping and logistics at a leading global medical manufacturer, and later led inventory and logistics for a property management firm in Minnesota.
Those roles trained me to treat reliability, controls, and accountability as first-class requirements. Authensor applies that discipline to AI agents.
Interested in Authensor? We'd love to hear from you.