I best like the making of each firewall is visual and just uses plain text which makes it easy for non-technical cybersecurity individuals.

What I value most is how quickly CollieAI let us put real guardrails around our LLM features without building everything in-house. We had it deployed and protecting real traffic remarkably fast, and the support has been excellent throughout - the team is hands-on and responsive whenever we need them. We use it as an AI firewall in front of our chatbot and agent workflows - prompt injection and jailbreak attempts get caught before they ever reach the model, and PII redaction on both inputs and outputs works out of the box. The detection itself is genuinely smart: CollieAI models catch obfuscated and multi-step attacks that simple keyword filters miss, with a low false-positive rate so legitimate traffic isn't disrupted. The standout for me is flexibility - the content filtering policies are highly configurable (custom rules, wording, allow/deny lists and detection thresholds you can tune per use case), and policy enforcement is just as granular, almost like policy-as-code, applied consistently across every request. On top of that, the pricing is significantly lower than the better-known vendors in this space, yet you get more features and far more configuration flexibility for the money. Latency overhead is low enough that users don't notice, the dashboard gives clear visibility into what's blocked and why, and integration with our existing stack took days, not weeks.