Your AI, Watched Like Your Network
Traditional security never watches for model drift, prompt injection, or a regulator asking you to prove your AI is under control. Assured AI does — continuous monitoring, guardrails, and red-teaming for the models you've put into production.
You Shipped AI. Your Security Stack Didn't Notice.
The moment a model hits production, it becomes an attack surface your firewalls, EDR, and SIEM were never designed to watch. Prompt injection, jailbreaks, data leakage, silent drift — these don't trip traditional controls. And when a regulator or buyer asks you to prove the model is governed, "we think it's fine" isn't an answer.
Deployed AI needs its own layer of defense — one that watches the model the way a SOC watches the network, continuously.
A SOC for the Models You've Deployed
24/7 Model Monitoring
Continuous watch over your production AI — behavior, drift, and anomalies surfaced before they become an incident, not after.
Guardrails That Hold
Enforced boundaries on what your models can accept and emit — blocking prompt injection, data leakage, and unsafe outputs in real time.
Adversarial Red-Teaming & LLM Testing
Our offensive-security team attacks your models the way a real adversary will — prompt injection, jailbreaks, data-exfiltration testing — finding the failure modes before someone else does.
Connected to Your Evidence
Every check and control feeds Evident AI, so protecting the model and proving it's governed are the same motion — not two projects.
Assured AI protects; Evident AI proves
Assured AI defends the model; Evident AI turns that defense into a live, time-stamped record for any buyer, auditor, or insurer. Together they close the gap between "we secured it" and "we can prove it."
Explore Evident AIBuilt by Attackers, for the AI Era
Anyone can bolt a filter onto a model. Assured AI is built by a team that has spent careers breaking systems — which is exactly who you want defending the AI you've put into production.
Common Questions
How is this different from normal security monitoring?
Traditional tools watch infrastructure. Assured AI watches the model itself — drift, prompt injection, jailbreaks, and data leakage that never trip a firewall or EDR.
What's the difference between red-teaming and LLM security testing?
Red-teaming is adversarial — our experts attack your model the way a real attacker would. LLM security testing is the systematic version: structured probing for prompt injection, jailbreak, and data-exfiltration weaknesses. We do both.
Does it work with our existing models and stack?
Yes — it's built to wrap the models you've already deployed, without forcing you to rebuild your pipeline.
How does this connect to compliance and evidence?
Assured AI protects the model; Evident AI proves it's under control. Together they close the gap between securing it and proving it.