AI Security Goes Beyond the Model. Secure the Entire Stack.

AI is being rapidly adopted across organisations. We are seeing fast-paced experiments with incredible new models, reasoning abilities, API chaining, protocols for custom context, and hyperscale workloads. The pace is blistering and the impact is real.

But, security teams are being left behind.
Mainly because most security tools still assume the model is the only thing worth protecting.

Meanwhile, the real risks are slipping through: Agents quietly exfiltrate data via third-party APIs, Vector stores hoard sensitive inputs with no oversight, Prompt injections rewrite reality, and no one really knows about what data their models are fiddling with

The truth is, securing modern AI systems isn’t just about the model.
It’s about the entire stack—your data-flows, agents, vector-stores, third-party endpoints, and every query and call in between.

That’s where we come in.
We’re excited to launch Aurva AI Security - a platform built to give teams real-time visibility, threat detection, and data access control across the AI lifecycle.

What’s changing and why it matters

Most existing security tools were designed for web apps, not AI systems.

They track login events.

They log API calls.

AI introduces new risks: shadow access, data leakage, poisoning attacks, adversarial attacks, and compliance blind spots. These are runtime problems. And they need runtime answers.

What Aurva AI Security delivers

For teams building with AI in production

Let’s simplify AI security

AI is no longer experimental. It’s powering production systems across industries.

But as the systems get smarter, the security needs to keep up.

Aurva AI Security gives you the visibility and control you’ve been missing without needing to rebuild your pipeline or bolt on extra tools.

We’re excited to partner with teams solving real problems with AI and now doing it more securely.