Aevris

Every AI company I looked at was focused on making LLMs more capable. Almost nobody was focused on making them secure in production.

The more I dug into it, the more obvious the gap became. Input scanning existed but if an attack got through, there was nothing on the other side. No output verification. No behavioral monitoring. No way to know if your LLM had been compromised until a user caught it.

I kept asking: who is watching what the LLM sends back? Who is worried about adversarial AI? The answer was nobody.

Every major AI security product scans inputs. Lakera, PromptArmor, Rebuff all inputs. None of them scan what the LLM sends back.

That means if a jailbreak gets through and some always do there is zero detection at the response layer. The attack succeeded. The compromised output is already on its way to your user. Your security dashboard still shows green. That's not security. That's the illusion of security.

Output alignment verification is the layer that actually closes this. It's what AEVRIS does and why we call it the first commercial product to protect both sides of your LLM. Launching tomorrow. Curious what others think am I wrong? Is input-only scanning enough?

Every AI security product on the market scans inputs. Nobody scans outputs. Here's why that matters: if a jailbreak succeeds and your LLM starts behaving badly, every existing security tool has already failed. The compromised response still reaches your user. You find out when someone screenshots it. Output alignment verification is the missing layer.

That's what AEVRIS does and it's the first commercial product to do it.