We're building something new.
Vigil is an AI security monitoring platform that detects hallucination and manipulation vulnerabilities in production AI systems. Not after the fact - in real time.
The Problem
Most AI security is reactive. An incident happens, someone investigates, and the vulnerability gets patched after the damage is done. But AI systems fail in ways that are fundamentally different from traditional software.
Hallucinations aren't bugs in the code. They're emergent behaviors of the model. And they can be triggered, amplified, and weaponized by adversaries who understand the underlying mechanics.
The Technical Foundation
Vigil's approach is grounded in published research identifying specific neurons in large language models that predict hallucination and over-compliance behavior. By monitoring these signals in production, we can detect when a model is entering a vulnerable state before it produces harmful output.
What Vigil Monitors
- Hallucination risk scoring - real-time confidence calibration for model outputs
- Manipulation detection - identifying when inputs are designed to shift model behavior
- Behavioral drift - tracking changes in model responses over time that indicate degradation or poisoning
- Compliance alignment - ensuring outputs stay within defined operational boundaries
Early Access
Vigil is currently in development. If you're deploying LLMs in production and want early access, reach out.