Why AI Agents Need a Human Firewall: The Shift Toward Verifiable Autonomy

As the industry rushes toward full automation, the hidden cost of AI errors is creating a cycle of 'act first, apologize later.' Klorn introduces an architectural invariant that forces a human-in-the-loop approval layer, ensuring that AI-driven actions are both predictable and verifiable before they impact real-world workflows.